ENTERPRISE DATA ENGINEERING

Krishna Mynampati.

Lead Data Engineer | Databricks | ETL Modernization

10+ years in software and data engineering. 4.5 years hands-on with Databricks. I modernize enterprise Azure platforms, build governed lakehouses and co-lead a chapter of 15 engineers.

EXPLORE MY ENGINEERING

From source to decision.

Explore the layers of a cloud data platform. Every layer has a job. I connect them.

See the work

AZURE / MICROSOFT FABRIC / DATABRICKS

Select a layer to explore
A representative architecture, built for exploration. No company data.
EXPLORE SELECTED WORK

10+ YEARS IN SOFTWARE & DATA

BASED IN GEORGIA, USA

THE SHORT VERSION

Experienced leadership.
Hands-on engineering.

I take data platforms from architecture to production. I lead engineers, solve the difficult delivery problems, and stay close to the code.

01Enterprise data platformsAzure · Databricks · Fabric
02Legacy modernizationSQL Server / SSIS → Synapse / Fabric
03Architecture & deliveryLakehouse · Modeling · CI/CD
04Independent productsWeb · Mobile · AI-assisted build
10+

Years in software & data

From enterprise applications
to cloud data platforms.

15

Engineers in my chapter

Co-leading technical standards,
design reviews and mentoring.

~40%

Less manual reporting effort

Through SQL and reporting
automation at BCBS California.

CAREER ACROSS

Marathon Petroleum

Blue Cross Blue Shield

GE HealthCare

Barnes & Noble

01 / ENTERPRISE DATA ENGINEERING

Built for
real responsibility.

Azure, Databricks and Fabric platforms for energy, trading and enterprise analytics.

01 — ENTERPRISE DATA ENGINEERING2022 — PRESENT

MARATHON PETROLEUM

One platform.
Many business
decisions.

I own enterprise Azure data platforms from ingestion through production support. I lead SQL Server, SSIS and warehouse modernization to Synapse and Fabric, and build Databricks pipelines with PySpark and Spark SQL for trading, operations and compliance.

  • Architecture through production support
  • ADF, Synapse and Databricks pipelines with PySpark and Spark SQL
  • Medallion layers, data quality, governance and Azure DevOps CI/CD
  • ETRM
  • Azure Databricks
  • PySpark
  • Spark SQL
  • ADF
  • Azure Synapse
  • Microsoft Fabric
THE DATA JOURNEY

From source to decision.

APIsREST · JSON
Business systemsERP · CRM
DatabasesSQL Server · Files
Azure Data Factory / FabricIngestion & orchestration
ONELAKE / DATABRICKS / PYSPARK
BRONZERaw data
SILVERTrusted models
GOLDBusiness-ready
Access control · Lineage · Controlled releases
Power BIReports & analytics
ILLUSTRATIVE

Illustrative charts — no company data.

REST APIs · ERP / CRM · SQL Server

Bring company systems together.

Connect APIs, databases, business systems and files to a reusable ingestion framework.
Representative workflow from my Marathon platform responsibilities. Motion is off for your device preference.

02 / INDEPENDENT TRACK

Product & Venture
Engineering.

Products I build outside my enterprise Data Engineering career. I design and develop web and mobile experiences, using AI-assisted development while owning the engineering decisions and release quality.

INDEPENDENT PRODUCT — AMDJsWEBSITE + MOBILE APP

AMDJs.AGENCY

Meet the artists.
Experience the music.

I’m building a connected artist and music experience across web and mobile: explore artists, watch videos, play mixes and connect with the agency.

MOBILE APP LIVE
WEBSITE LIVE

Actual project previews

AMDJs website preview showing DJ discovery and booking links
AMDJs mobile app browser preview showing the DJ roster

One agency. A connected experience.

Explore artists, watch videos, play mixes and read stories across a connected web and mobile experience.

Live on web. Ready to play on mobile.

THE EXPERIENCE

Discover. Watch. Listen.

Artist profiles, videos, playable mixes and editorial stories. Booking is one part of the journey.

THE ENGINEERING

Connected content. Reliable actions.

Artist discovery, media and agency enquiries share one experience. Persistent receipts keep booking retries reliable.

THE STACK
  • React Native
  • Expo
  • TypeScript
  • Supabase
  • PostgreSQL

03 / HOW I BUILD

Engineering judgment.
AI-assisted execution.

I use AI to shorten the distance
between an idea and a working product.

Claude, ChatGPT, Codex and Cursor help me explore architecture, write code and debug. I own the decisions, review the output and verify the release.

01 Define the problem02 Build & iterate03 Test & deliver

04 / EXPERIENCE

A decade of
making it work.

Full résumé

05 / LET’S CONNECT

BUILDING
WHAT’S NEXT?

Hiring for a data engineering or cloud platform role? Have a website to design or an app to build? Let’s create something that works.Smyrna, Georgia · Remote or hybrid · Open to relocation.