Databricks Consulting Services

Databricks moves fast. While many teams struggle to keep pace, we make sure you don’t. Instinctools provides end-to-end Databricks consulting services backed by 10+ years of delivery and a cross-functional team of Databricks experts that turn the platform’s feature depth into repeatable success.

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Turn data into decisions with our Databricks consulting and development services

Instinctools covers the whole spectrum, helping your company go full bore on the Databricks data intelligence platform, with an optimal TCO and a clear scalability roadmap for painless ramp-ups.

Data and analytics workflow consolidation on Databricks

Manage one platform instead of bouncing between four different vendors with unpredictable TCO. Our data science team sets up a unified, scalable, and controlled Databricks data platform for your disparate data assets and tasks, bringing ETL/ELT, machine learning projects, and data governance under one roof.

Data lakehouse design and implementation

Instinctools’ engineering team designs and optimizes a smart, format-agnostic data lakehouse architecture that combines the cost-efficiency of a data lake with the performance and reliability of a data warehouse. Compliance with GDPR, CCPA, and other industry-specific standards is ensured by default.

ETL and data pipeline engineering

Equipped with native Databricks tools, such as Auto Loader, Delta Lake, and Lakeflow Declarative Pipelines, our Databricks engineers design scalable, maintainable data pipelines. With a future-proof, modular design at the core, our pipelines will support your business needs for years to come.

Real-time and streaming analytics 

Our team builds real-time Structured Streaming solutions for insights that can’t wait, such as anomaly patterns and real-time alerts, and sets up cost-optimized batch processing for less critical data workloads. The result is a balanced architecture that’s fast when it needs to be, and efficient where it can be.

ML model development and deployment

Building on MLFlows capabilities, our ML experts deploy reproducible, governed, and scalable ML workflows for both classic machine learning models and generative AI agents. If you already have existing ML pipelines, scripts, and processes, our Databricks developers will connect them to your Databricks setup.

LLM customization

Hire our expert Databricks developers to do the heavy lifting of LLM customization. From setting up RAG pipelines to fine-tuning models like Llama, MPT, OpenAI, and others with your enterprise data, our developers will operationalize your LLM-based solutions and deliver them as scalable, low-latency REST endpoints on Databricks Model Serving.

Data governance and secure data sharing

When metadata and access policies are scattered between different environments, that becomes unnecessary exposure. Using Unity Catalog and Delta Sharing, *instinctools’ developers will establish a unified data governance layer for centralized management of data and AI models and secure sharing of live data with internal teams or external partners, without complex ETLs or copies.

CI/CD and DevOps for Databricks

We streamline your CI/CD by integrating your framework of choice, whether that’s GitHub Actions or Azure DevOps, with the Databricks Platform. With tools like Databricks Asset Bundles and the Jobs API, our experts orchestrate end-to-end code execution, infrastructure provisioning, and model deployment to give your team peace of mind over data and AI operations.

Data warehousing and BI

With Databricks SQL in tow, we create a powerful search engine for all your company data. Since this engine easily integrates with Power BI, Tableau, and other visualization software your analysts already use, your team can build dashboards and share insights in a flash, without waiting on data pipelines to refresh.

Databricks migration and optimization 

If you’re stuck with a legacy system or a hodgepodge of cloud tools, our developers can carefully move these workloads to Databricks on your cloud of choice. Our team is proficient in AWS, Azure, and GCP, so we’ll help you identify the best cost-optimization techniques, security setups, and migration practices for your specific cloud.

Building and managing OLTP workloads

Making your operational data analytics-ready in real-time is often a risky path due to the system strain and inherent risks. Instinctools’ developers build smart, low-latency pipelines that carefully pull your high-velocity OLTP data from PostgreSQL, MySQL, Microsoft SQL, and other transactional systems and inject it directly into the Databricks Lakehouse. 

Databricks health check

As Databricks consulting partners, our developers keep your Databricks infrastructure optimized and up-to-date. We scan your existing environment for performance bottlenecks, security gaps, reliability issues, and cost drains, to make sure it stays at peak efficiency with zero waste at all times.

Certified to the highest ISO standards

Hire expert Databricks developers who build on your chosen infrastructure

Business goals we help you achieve with Databricks

For your company, Databricks is a powerful tech sidekick, the one that changes the data operations in ways no other mainstream platform can. With our expertise on board, you can rest assured that the platform will be leveraged to its full potential.

Unified, accurate data across domains and teams

When it comes to breaking down data silos, Databricks is in a category of its own. Whether you’re trying to piece together customer behavior, drill down into product sales, or get to the bottom of other trends, this tool allows you to pull structured, semi-structured, or unstructured data from a unified data ecosystem. With ACID transactions, your insights remain trustworthy across the board.

Reliable data quality and trust 

The powerful combination of governed schemas, automated tests, and full lineage makes sure errors are caught in their tracks, changes are fully traceable, and every dataset stays auditable. Thanks to that, all business decisions, analytics, and AI models draw upon up-to-date, high-quality information.

Performance and cost efficiency 

By morphing it all into a unified data platform, Databricks already lets you kill two birds with one stone: ramping up your data processing and slashing your infrastructure costs. Our Databricks information technology consulting company takes the cost savings a step further. Through a series of strategic optimizations, such as cluster right-sizing, autoscaling, and more, our software engineers don’t just unify data, they make every bite count, too.

Real-time insights where they matter

This modern data platform enables your company to seamlessly switch between batch processing, historical analysis, and machine learning training within the same platform. Since the real-time capability kicks in only when it’s necessary, you don’t have to pay a premium for getting instant insights.

Self-service analytics for non-technical users

As a full-stack business intelligence platform, Databricks is also a remedy against gatekept data. Since the platform allows citizen data analysts to connect their favorite BI tools directly to Databricks SQL, your team can run queries, build dashboards, and peer into critical insights on their own and at the speed of your business.

Bridge to AI maturity

The platform’s Agent Bricks and MLflow features make it a true launchpad for scalable ML models and LLM-based solutions, while a solid architecture within Databricks ensures high-quality input for both. Amplified by our technical expertise, these capabilities translate into production-ready AI solutions, delivered at enterprise scale and speed.

Stronger governance

With Databricks, data-driven decision making becomes easy to trust, since every bit of data is tracked, auditable, and managed under a uniform system. For heavily regulated businesses, this centralized governance is table stakes, as it gears them up for SOC 2, GDPR, and other regulations, while also cutting audit preparation time.

We work to make data work harder for you

Why hire *instinctools as a Databricks consulting partner?

You didn’t invest in the Databricks infrastructure just to manage data. You locked in to lead the market. The *instinctools team makes sure you get a return on that ambition.

Deep Databricks expertise across the board

Databricks is a multifaceted infrastructure that lets you build out compound capabilities, from data pipelines to ML workflows. With our all-in expertise, you won’t have to piece it out to different specialists, because you get a cross-functional team that sees the whole picture and knows their way through the entire platform, be it Delta Lake, Spark, MLflow, or other tools.

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Hands-on experience with major cloud providers and BI platforms

No costly rip-and-replace projects. With a proven track record of building on AWS, Azure, and GCP, our Databricks developers meet you where you are. We also integrate seamlessly with leading BI platforms, including Power BI, Tableau, Looker, and Qlik.

Enterprise-grade security practices

Instinctools is an ISO-certified tech partner. That means that every deployment is carried out in compliance with internationally recognized standards. We layer our own best security practices on top of Databricks’ enterprise security framework to guarantee end-to-end data protection, compliance, and trust.

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Proven value delivery

As an experienced Databricks developer, we have curated a library of pre-built frameworks and automation scripts for CI/CD, data quality checks, and MLOps. That allows us to shift your data products into high gear and deliver solutions that are not only cost-effective but also grow fast.

Always up to date, always optimized

Databricks moves faster than most companies can keep up. Our Databricks developers continuously monitor and fine-tune your environment with new features, so your infrastructure stays lean, cost-efficient, and as cutting-edge as you need it to be.

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Run your Databricks setup smarter and spend less

What our clients say
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Bonnet
Patrick Reich
Co-Founder & CEO

The expectations for the quality of the initial product were very high. I think *instinctools did a great job ensuring those expectations are met. We met the developers we were going to be working with and it quickly became apparent that they are very qualified and were able to deliver the vision that we had from our side for the product. They clearly told us what they were going to do, and if there were questions or problems along the way, they clarified them really quickly thanks to transparent communication.

CANet
Dimitri Popolov
Research Data and Systems Manager

We had a tight delivery deadline and *instinctools has been able to find another developer and assign him to our project from one day to another. And we’ve been able to successfully deliver this project. When the partner is good, things are just getting done. And that was the case with *instinctools.

Helvar
Matti Vesterinen
Solution Development Manager

The quality has been good. It’s been on the expected level: things come on time, we have a good visibility on the things that *instinctools developers are doing and performing for us, communication is good. Wherever we see that we need some more exra resources, we have found *instinctools to be a good partner in helping us out on those areas.

SpecTec
Tim Rosenberger
Director, Global R&D

I’ve been impressed by the available skillset, the flexibility to ramp up resources quickly, and the scalability to extend development teams on short notice. I look forward to continue collaboration with *instinctools and their contribution to our projects.

Lition
Richard Lohwasser
Co-Founder & CEO

People at *instinctools are quite tech heads, which I like. They have used very advanced libraries, advanced techniques, advanced coding paradigms. So the advantage is that we get reusable code, that we get well-testable code, we get well-maintained code.

IPwe
Dr. Jonas Block
Product Owner

The *instinctools team exhibits the flexibility and professionality required for young companies. You can rely on their tested structures and processes that integrate nicely with your internal workflows. Being able to grow your team quickly with experienced professionals that start delivering value immediately and without a long interview process is a huge help. And personally, you will be working with a team of kind and interesting people.

SpexAI
Nadine Walther
Co-Founder & CEO

The team is dependable when it comes to managing time and finances, consistently staying within the designated budget. We’re pleased with *instinctools. Their business analysts are exceptional. They serve as the spokespeople between technology and business, representing both sides effectively.

Deif
Jeanine Shepstone
Senior Technical Writer

Instinctools is good at understanding the technical issues – once an issue is outlined, they do not need repeated explanation. They also do not simply accept a proposed solution, but they think about it and propose a better solution. I was really impressed by the custom interface they built for us – we outlined the requirements, and they implemented them in a user-friendly way that makes the interface a pleasure to use.

Sebastian Belle
VP of Engineering

Instinctools does deliver on time and budget. The company proactively asks how they can support our efforts and provide ideas how to help us with very good candidates with expertise that either we requested or that instinctools identified to be missing.

Alisa Delikatna
COO

The team demonstrated effective project management, timely delivery, and responsiveness to our needs. They established open communication to facilitate ongoing dialogue and held regular sprint meetings to keep stakeholders informed and engaged throughout the development process.

How we deliver Databricks success

Along with battle-tested 10-year experience in Databricks, our development team brings the end-to-end methodology, polished by over 30 projects, to prevent architectural drift and bridge the chasm between ambition and action.

Step 1
Tailored Databricks strategy
  • Assessing your current data sources, workflows, and analytics landscape
  • Mapping Databricks capabilities to your business objectives and target outcomes
  • Establishing success metrics and ROI expectations
Step 2
Databricks architecture design
  • Suggesting a scalable, cloud or on-premises Databricks environment
  • Designing efficient data ingestion and processing pipelines
  • Creating an architecture diagram and documentation
  • Establishing strong governance and security frameworks for data management
Step 3
Proof of Concept (POC)
  • Defining the scope and acceptance criteria
  • Implementing a minimal viable slice that exercises critical integrations/transformations
  • Validating feasibility and performance against goals
Step 4
Implementation roadmap 
  • Step-by-step plan with milestones and dependencies
  • Resourcing and timeline by phase
  • Risks and mitigations
Step 5
Databricks setup and configuration
  • Provisioning workspaces, clusters/SQL warehouses, and environments
  • Setting up Delta Lake for reliable, scalable data management
  • MLflow setup if ML lifecycle management is in scope
Step 8
Team enablement and ongoing support
  • Hands-on training and tailored documentation
  • Ongoing advisory and support for continuous optimization and change adoption
Step 7
Performance optimization and tuning
  • Optimizing Spark jobs
  • Adjusting cluster configurations and autoscaling settings
  • Applying cost-control best practices
Step 6
Data migration and integration
  • Integrating Databricks with existing data sources, tools, and platforms
  • Implementing real-time data processing pipelines
  • Utilizing Delta Lake features for optimized storage and querying
Awards and recognition

FAQ

What do Databricks consulting services include?

Within Databricks consulting services,  *instinctools’ developers can design a Databricks adoption strategy, set up the infrastructure from scratch, build and optimize data pipelines, and support your ML and analytics projects. We also help you prepare your environments to meet governance and compliance requirements.

How do I hire expert Databricks developers for my project?

To hire Databricks developers at *instinctools, you can reach out to our team directly. We’ll match you with developers who have relevant experience and skills to get the job done. On average, it takes us 2-7 days to assemble a team for your project.

Can you help migrate from Redshift or BigQuery?

As a team that specializes in data-first projects, we can help you migrate from Redshift, BigQuery, or any other data warehouse to Databricks.

Can *instinctools manage my existing Databricks environment?

If you already have a Databricks setup but need expert oversight, our developers can pick up the slack. We can take over daily operations, optimize performance, amplify your governance efforts, and fill in the security gaps. Our developers also track the latest Databricks updates and deploy them as needed, helping you get the most out of the platform and keep your costs to a minimum.

What are the benefits of hiring remote Databricks developers?

When a company chooses to hire remote Databricks developers, this move can save them time and cost that would otherwise be spent on hiring in-house, setting up the infrastructure, training the team, and other operational expenses. Also, when you reach out to our team, you are not just hiring contractors. You’re teaming up with a tech partner that has end-to-end expertise under one roof and puts their back into delivering your project.

Anna Vasilevskaya
Anna Vasilevskaya Account Executive

Get in touch

Drop us a line about your project at contact@instinctools.com or via the contact form below, and we will contact you soon.