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Databricks consulting · Chicago, IL

Databricks consulting for Chicago companies

Month-end reconciliation that runs against a copy of the data instead of the source is the warehouse problem most finance teams share. Delta time travel and Unity Catalog lineage make the reconciled view reproducible, for CFTC and SEC recordkeeping and a plain close alike, and a migration off Teradata or Snowflake brings operational data onto the same platform. Chicago's trading firms made that urgent, and a law firm or a food company here reconciles too.

Founded

2017, and still independent

Bench

115+ engineers, 80 Databricks-certified

Experience

Fifteen years average, per engineer

Serving

Chicago, Naperville, Evanston, Schaumburg

Derivatives and futures trading on LaSalle Street and Wacker Drive, heavy manufacturing across the south suburbs and northwest Indiana, and the rail and intermodal yards around Joliet that connect both to everywhere else. If your company sits where regulated finance meets physical logistics, and in Chicago many do, every automated action has a clock and a counterparty.

DatabricksTemporalAzure

TechFabric is a Databricks partner with an award-winning Databricks engineering team, 80 of them Databricks-certified, and a Temporal partner. Where a system reaches past the workspace we build on Azure, AWS and Google Cloud.

TechFabricDatabricks
WinnerCreativity & Originality

Databricks Community Genie-Powered App Challenge, September 2026. Second place worldwide, judged and announced by Databricks.

What databricks consulting covers

Migration off Snowflake, Synapse and Teradata

Run through TechFabric Airlift, with executable playbooks for twenty-seven source platforms, signed migration certificates, and a cutover you can reverse at two in the morning.

Unity Catalog governance

Catalogue and schema design, a grant model expressed through groups, row filters and column masks, and lineage that survives a refactor. The boundary your agents and Power BI inherit.

Lakeflow pipelines

Ingestion and Lakeflow jobs with schema evolution handled rather than hoped for, medallion boundaries drawn on purpose, and jobs that recover instead of restarting from zero.

Databricks Apps and agents

Applications that run inside the workspace under their own service principal, and agents on Unity Gateway that inherit catalogue permissions instead of routing around them.

Genie and AI/BI

Metric definitions agreed with the person who owns the number, and a benchmark suite Genie has to keep passing, so the answer holds up when finance checks it.

Cost that somebody can defend

Cluster policies, warehouse sizing, file layout and the queries that actually pay. Instrumented at build time rather than discovered on an invoice.

Every trade has to reconcile

In Chicago, CME Group runs its futures exchanges from Wacker Drive, Cboe sits a few blocks away on Van Buren, and the trading firms around the old Board of Trade building on LaSalle reconcile every day. CFTC Rule 1.31 keeps their records for five years, and SEC Rule 17a-4 holds broker-dealers to the same discipline, so a position that can't be rebuilt from its history is a finding.

A table of current positions with an audit table beside it is the common design, and month-end goes on explaining why the two disagree. We make the event log the record instead. Every position and report derives from it, and a wrong projection is rebuilt by replay rather than patched by hand. On a desk that reconciles daily, that's an hour against a week.

Design starts from the events themselves. We name every one a trade or an order can emit, agree which system may write each, and replay a week of production history against the new model before anything is cut over. Freight and manufacturing firms get the same treatment, with a shipment or a work order where the trade was.

Clients we have done this for

If your orders, customers and invoices live in separate systems that have to agree, this is the study to read. AmTab's orders reach Business Central from the store without anyone re-keying them, and Power Automate keeps the store, the CRM and the ERP holding the same records.

B2B ecommerce

AmTabAmTab

AmTab, a table manufacturer, had orders moving between departments on paper while demand climbed. Senior engineers from TechFabric worked through those manual steps with AmTab's own people first, then connected the amtab.com store, the CRM and Business Central, so an order placed online reaches the ERP that invoices it without anyone retyping it.

How an engagement runs

  1. 01

    Two weeks, fixed fee

    A Databricks Health Check reads the workspace and returns a scorecard: compute cost, job reliability and Unity Catalog gaps, with what to fix first. You keep the document either way.

  2. 02

    Scope you can defend

    For a migration, the two-week Migration Readiness Sprint inventories the estate, agrees exclusions and hands you a wave plan before anyone picks a date.

  3. 03

    Build in your workspace

    The work runs in your workspace and your repository, with your engineers in it from the first week, so the pattern is one they can extend.

  4. 04

    Hand over with the reasoning

    A written record of what was decided and why, which the next platform lead almost never gets.

Two weeks, fixed fee, and a written plan whether or not you build it with us.

Tell an engineer what you want to build

A senior engineer reads it and replies within one business day, usually with the questions that decide the first two weeks.

A sentence or two is plenty, such as what it should do and what stands in the way today.

Goes straight to a senior engineer. By sending this you agree we can contact you about your enquiry, and occasionally about our work. Tell us to stop at any time and we will.

Around Chicago

Where Chicago's data teams meet

Databricks DevConnect brings the people who write pipelines to Loft On Lake in the West Loop for an evening of talks on real workloads. The Chicago dbt Meetup holds a few evenings a year in the Loop, and Data Saturday fills Harper College in Palatine each March with a free day on the Microsoft data platform.

Data Saturday comes from the volunteers who've run SQL Saturday Chicago since 2010, and its talks are about the Microsoft data platform, so if your warehouse is SQL Server or Synapse, a day at Harper College previews what a move to Databricks will ask of your analysts. The dbt evenings answer the other question, how much of your transformation logic already sits in SQL models that can come across with little change.

Map of the Chicago-Naperville-Elgin metro area13 counties: Cook County, IL; DeKalb County, IL; DuPage County, IL; Grundy County, IL; Kane County, IL; Kendall County, IL; Lake County, IL; McHenry County, IL; Will County, IL; Jasper County, IN; Lake County, IN; Newton County, IN; Porter County, IN. The lighter shape is Chicago city, and the red dot marks downtown Chicago.

The Chicago-Naperville-Elgin metro area. Illinois: Cook, DeKalb, DuPage, Grundy, Kane, Kendall, Lake, McHenry and Will counties. Indiana: Jasper, Lake, Newton and Porter counties.

Lighter shape: the city itself. Dot: downtown. County boundaries from the US Census Bureau, 2023.

  • Meetup · 10 November 2026, 5 PM

    Databricks DevConnect Chicago

    Talks on real-world use cases at Loft On Lake, then a networking reception, give you an evening to sanity-check a reconciliation design with people building on Databricks.

    Databricks developer relations team. Loft On Lake, 1366 W Lake St, West Loop.

  • Conference · 29 October 2026

    Data + AI World Tour Chicago

    Bring the platform owner, because a free day of sessions and training at the Sheraton Grand covers more product ground than a month of sales calls.

    Databricks. Sheraton Grand Chicago Riverwalk.

  • User group · A few evenings a year

    Chicago dbt Meetup

    Analytics engineers at the dbt evenings can tell you how much transformation logic moves to Databricks unchanged, which shapes any migration estimate.

    Volunteer organisers. The Loop, venue varies.

  • Conference · Annual, usually in March

    Data Saturday Chicago

    A free Saturday at Harper College in Palatine previews what a SQL Server or Synapse team will need to learn before a move to Databricks.

    Volunteers behind SQL Saturday Chicago, running since 2010. Wojcik Conference Center, Harper College, Palatine.

  • University · Ongoing degree programme

    Master's in Applied Data Science, University of Chicago Data Science Institute

    The Data Science Institute in Hyde Park runs a joint MBA and MS with Booth, so its graduates can argue a design with finance and engineering alike.

    University of Chicago Data Science Institute. Data Science Institute, 5460 S University Ave, Hyde Park.

More in Chicago (1)
  • PG DATA 2027

    A two-day PostgreSQL community conference for developers, administrators and architects, focused on education and building the Midwest community. 2027 is the second edition.

    11 to 12 June 2027. UIC Student Center East, Chicago.

Where you'll find us

Each listing was checked on its organiser's own page on 12 October 2026. Dates and venues move, so the link is the source.

FAQ

Databricks consulting in Chicago: common questions

Can Databricks keep the model records a Chicago insurer owes Illinois examiners?

It can hold most of it. The Illinois Department of Insurance's Company Bulletin 2024-08 expects insurers to keep a written program for their AI systems, and it lists what the Department may ask for in an examination, including data governance practices covering lineage, quality and bias analysis.

For a carrier we'd register each pricing or claims model in Unity Catalog with the tables it was trained on, so lineage shows which data built which version, and keep evaluation results by group in tables beside it. The written program and the sign-offs stay with your actuaries and compliance team, since a platform can't approve a model for you.

Can a Chicago hospital group put EHR and claims data on Databricks?

Yes, as long as the governance is in place before the first query. The Bureau of Labor Statistics counted 805,600 education and health services jobs in the Chicago metro in September 2026 (preliminary), close to one job in six across the region.

We'd land the EHR extracts and claims feeds in Unity Catalog with patient identifiers tagged on arrival, so row filters and column masks apply before an analyst runs a query. The first model we'd build is one finance already wants, such as denied claims by payer, because it proves the governance on a real question.

We're a Chicago food manufacturer. What would Databricks do with our plant data?

It would tie every batch to the line and the ingredient lot behind it. The Chicago Council on Global Affairs puts the area's food innovation and manufacturing at an estimated $10.4 billion in nominal GDP, more than any other US metro. We'd expect plant data to sit in a historian, the ERP and the quality lab's spreadsheets.

We'd stream line sensor readings into Delta tables beside batch records and lab results, keyed on lot, so a yield drop or an off-spec batch traces back to its source. The same lot key answers a recall question far faster than a search through binders.

Can the event log serve as our reconciliation source?

That is what it is for. The event log is authoritative and read models derive from it, so a projection can be rebuilt by replay rather than reconciled by hand. In a business where reconciliation is a daily function that is the difference between an hour and a week.