What MegaBricksAI does
We're a Databricks-focused consultancy. We build the pipelines that move and shape your data, the AI agents that put it to work, and the migration paths that get legacy platforms onto the Lakehouse — without the guesswork.
Data Engineering
Bronze, silver, gold pipelines built with Lakeflow, Auto Loader, and Unity Catalog — reliable data, end to end.
AI & Genie
LangGraph agents, LangChain apps, and Genie spaces that let your teams ask questions in plain language.
Data Migration
A disciplined six-course method — Analyze, Design, Execute, Activate, Enable, Turn Off.
Why "bricks"? Every Databricks lakehouse is built the same way ours is named — in layers, set deliberately, each one load-bearing for the next. That's the whole philosophy: nothing skipped, nothing left loose.
Data engineering on the Lakehouse
We build the medallion architecture that turns raw, messy sources into data your business — and your AI agents — can trust.
Raw ingestion
Streaming and batch sources landed as-is with Auto Loader — full history, schema drift handled, nothing lost.
Cleansed & conformed
Deduplicated, validated, joined across sources into a consistent shape teams can build on.
Curated & business-ready
Aggregated, modeled tables that power dashboards, reports, and AI agents directly.
Ingestion
Auto Loader and structured streaming for files, CDC feeds, and event streams.
Transformation
Lakeflow Declarative Pipelines for testable, declarative ETL with built-in expectations.
Orchestration
Databricks Workflows and Jobs to schedule, chain, and monitor every pipeline.
Governance
Unity Catalog for fine-grained access control, lineage, and a single data catalog.
Quality
Lakehouse Monitoring to catch drift, nulls, and anomalies before they reach a dashboard.
Performance
Liquid Clustering and Photon to keep queries fast as tables grow.
Agentic AI & Genie
We put your governed data to work with agents and conversational tools that sit directly on top of the Lakehouse.
LangGraph
Stateful, multi-step agent graphs for workflows that need memory, branching, and human-in-the-loop checkpoints — deployed on Databricks Model Serving.
LangChain
Composable building blocks for retrieval-augmented generation, tool-calling, and LLM apps wired into your Unity Catalog data.
Genie
Natural-language questions answered directly against governed tables — no SQL required, with every answer traceable back to its source.
Data Spaces
Curated Genie spaces — a defined set of tables, instructions, and sample questions — so each team gets accurate answers within clear boundaries.
Data migration, the MegaBricksAI way
Every migration follows the same six courses — laid in order, never skipped — so the move to Databricks is predictable instead of risky.
Analyze
Inventory the current platform: workloads, dependencies, data volumes, and a cost baseline to measure against.
Design
Map the target architecture on Databricks — Unity Catalog structure, medallion layers, compute sizing — and a migration runbook.
Execute
Migrate code, data, and pipelines, with parallel runs against the legacy system to validate results.
Activate
Cut workloads over to Databricks and redirect downstream consumers, dashboards, and jobs.
Enable
Train your teams, document the new platform, and stand up monitoring so you're self-sufficient.
Turn off
Decommission the legacy system, retire licenses, and close out the project cleanly.
Modernizing data platforms
We move data, pipelines, and workloads off legacy warehouses and ETL tools and onto the Lakehouse.
Schema and stored-procedure logic re-platformed into Delta tables and Lakeflow pipelines.
Large-scale warehouse workloads moved with minimal query rewrite and validated side by side.
OLTP and reporting workloads separated, with reporting moved to gold-layer Lakehouse tables.
Coexistence or full migration, depending on your timeline, with Unity Catalog as the system of record.
Legacy ETL packages rebuilt as declarative pipelines with native change-data-capture.
Spark workloads lifted onto managed compute, with HDFS data migrated into Delta Lake.
Contact us
Tell us about your platform, your data, or the migration you're planning — we'll get back to you.
980 N Michigan Ave Ste 1090 #277858
Chicago, IL 60611