An award-winning Databricks engineering team
Databricks, lakehouse to live application.
Your pipelines half-run overnight, your best model is still in a notebook, and the agent pilot never reached a customer. TechFabric is a Databricks partner, and our engineers build the way out in your own workspace, from the Lakeflow pipeline to the endpoint the model serves from.
The usual first step is the two-week Health Check. It reads your workspace as it stands, costs a fixed fee, and ends in a written scorecard whether or not you carry on with us.
Find us in the Databricks partner directory, read what a Databricks partner does, or see where your own platform stands with the Databricks readiness assessment.
What teams bring us in for
Each one ends in production, in your workspace.
Databricks data engineering
Pipelines that land on time and tables the business agrees on. We build Lakeflow pipelines and medallion layers, move ETL off Synapse, Snowflake and SQL Server, and design the data quality checks and the cost limits in from the start.
Data engineeringMachine learning and MLOps
Models that leave the notebook. Features defined once for training and serving, every run tracked in MLflow, a monitored endpoint on Model Serving, and a retraining job somebody other than its author can run.
AI agents and applications
Agents that research, draft and update records under their own identity and stop for a person before anything that can't be undone, plus the applications your people use them through.
AI agents80
Databricks-certified engineers on the bench today. That is the count as it stands. Certification proves the floor. Fifteen years of average production experience is what decides whether the thing still works in month six.
- 27
- source platforms with migration playbooks that execute, from Snowflake and Synapse to Teradata and SAP
- 4
- engagements with a fixed shape and a fixed fee, so you know the cost before the first meeting
- 10 to 3
- the delivery team size Fabric took us to, on the same Databricks stack we build yours on
Accredited and certified by Databricks
Certifications
Partner accreditations
TechFabric is a Databricks partner with an award-winning Databricks engineering team, 80 of them Databricks-certified, and Databricks is where we have chosen to go deep. We build data platforms, governed AI systems, and native Databricks applications on Unity Catalog, Lakeflow, Databricks Apps, Unity Gateway, and Genie. We run our own business on the same stack, the accelerators underneath it are free and open source, and in September 2026 one of our engineers placed second in Databricks' own Genie-Powered App Challenge.
Judged by Databricks
Winners of Databricks' global app challenge.
Prove It, built by Ivan Vydrin, an award-winning Databricks engineer at TechFabric, was named a winner in the Creativity & Originality track of the Databricks Community Genie-Powered App Challenge in September 2026, placing second worldwide. It's a data-literacy game for ten to fourteen year olds that shows the child the SQL Genie wrote, then lets them argue with it. Streamlit on Databricks Apps, the Genie Conversation API, four tables in Unity Catalog, and the code is public.
TechFabric also organises the Gilbert Databricks User Group. Our CEO, Preetham Reddy, is its lead organizer, listed on usergroups.databricks.com.
Video · 1:18
How Databricks gives a plant one set of numbers from five systems
Chapters and the full transcriptFour ways to start, each with a fixed shape.
Each one has a length, a price and a written deliverable agreed before it starts. You get to judge how we work on something small enough to walk away from.
Two weeks
Health Check
Teams already on Databricks whose bill is growing faster than the work
Two weeks
Migration Readiness Sprint
Teams with a migration approved and a scope nobody can defend yet
Six weeks
Lakehouse Launchpad
Teams modernising off a legacy warehouse, or stalled after a pilot
Two to four weeks
Genie Accuracy
Teams whose natural-language analytics lost the room
If you already know the source.
These pages say what breaks on that platform, and what a person still has to do after Lakebridge has run. The first two weeks are the same sprint either way.
Snowflake
Snowflake to Databricks
Teams leaving Snowflake whose scope is still a table count
Azure Synapse
Synapse to Databricks
Teams leaving Azure Synapse whose dedicated pool, Spark and ADF still live as three projects
Teradata
Teradata to Databricks
Teams leaving Teradata whose load jobs and macros are still the system of record
Airlift carries executable playbooks for twenty-seven source platforms. Redshift, Oracle, SQL Server, BigQuery, Netezza, Greenplum, Vertica, Hadoop, SAP and Db2, along with the pipeline tools around them and the streams that move with the estate. The full registry is at airlift.techfabric.com/docs/sources.
Accelerators doing the heavy lifting.
We run all of this software ourselves. Every Databricks programme repeats the same few problems, and these are what we stopped rebuilding: the migration, the agent runtime, the evaluation harness.
A governed migration factory for moving warehouse and ETL estates to Databricks.
Runway takes the manual steps out of releasing Databricks Apps, for data teams who can build one but can't ship one after another without somebody doing it by hand. Each pull request gets a preview your reviewers can open, an app that fails its evaluation can't be promoted, and you can see who owns every app in the workspace and what it costs.
Governed mission control for running data and ML workloads on Databricks.
Experiments is how your data team proves a new model or agent beats the one in production before it ships. It scores every change on your own Databricks data, so you can show the business a number instead of an opinion, and a version that fails its quality gate doesn't reach production.
Free, and not gated
The Databricks Field Guide
Chapters on how the platform actually works, from accounts and workspaces through Unity Catalog, Lakebase, pipelines, serving and agents. Written for executives who need the shape of it and engineers who need the detail, and it is the manual our own people work from. Coding agents can read it too, through its free MCP server, and our Databricks Toolkit Chrome extension brings the same chapters and read-only health checks into your browser tab.
Margin notes from the Databricks Field Guide
All margin notesShort takes on what Databricks just shipped and what we read into it, published on the Field Guide.
- Nov 3, 2026 · Ivan Vydrin
Databricks Genie One MCP: Beta URL ends 30 November
The Genie One MCP Beta URL fails after 30 November 2026. Move clients to system.ai.genie_one_mcp and the ai-gateway OAuth scope.
Read on the Field Guide - Nov 3, 2026 · Sergey Ustimenko
Databricks real-time mode for Lakeflow pipelines reaches GA
Real-time mode in Lakeflow pipelines is generally available. Use it for a millisecond decision written to Kafka or a ForEach sink, not a Delta table.
Read on the Field Guide - Nov 3, 2026 · Ihor Seleznov
Databricks serverless cost controls: who can run, and how fast
Remove All Users from Default Automated Compute only after the thirty-day jobs audit. Leave the serverless rate limit unenrolled.
Read on the Field Guide
FAQ
Questions we get asked about Databricks
We are already on Databricks and shipping is the hard part. Where do you fit?
That is the engagement we are sharpest for. Usually it is the initiative that keeps slipping because your team is fully committed elsewhere: the app that never leaves the notebook, the agent nobody trusts in production, the Lakebase service that keeps getting deferred.
We take ownership of that piece without pulling anyone off the current roadmap, and we work in your workspace so nothing has to be handed back later.
What makes you different from a data consultancy?
We are a software company that went deep on Databricks rather than a data practice that added application work later. Most partners stop at the pipeline and the dashboard. We build what comes after: the application on top, the durable API underneath, the agent that survives production. That is ordinary work here.
How many Databricks-certified engineers does TechFabric have?
Eighty, as things stand today, sitting inside a team of 115+ across four offices, in Gilbert, Amsterdam, Dnipro and Hyderabad. Certification only proves the floor. What matters more is that the same engineers have shipped production software for fifteen years on average.
Do we have to already be on Databricks to work with you?
No. Some engagements start before the first workspace exists, some rescue a stalled pilot, and some are a migration off a warehouse that has stopped paying for itself. Databricks is where we go deepest and it is what we lead with, and it is not a condition of working with us. We also build on Azure, AWS, GCP and Cloudflare.
Which Databricks surfaces do you work with?
Unity Catalog, Lakeflow, Delta, Databricks SQL, Databricks Apps, Model Serving, Unity Gateway (formerly Unity AI Gateway), Genie, Lakebase and Asset Bundles. Our accelerators are built on those same surfaces, so what we recommend is what we run.
How can we help?
A technical conversation with a senior engineer. If a two-week health check is the honest answer, we will say so.