Aditya Deshmukh - Data Engineering

🧑🏻‍💻 About Me

I'm Aditya, a data engineer who gets genuinely excited about turning messy data into systems that actually work. Based in Chicago, I spend my days building pipelines, optimizing platforms, and occasionally wondering why someone thought Excel was a good database.

I'm the person who can explain VPC endpoints to your non-technical PM, debug a Spark job at 2 AM (hopefully not often), and still find time to mentor junior engineers. My superpower? Making complex data infrastructure feel less scary and more like solving a really satisfying puzzle.

When I'm not deep in AWS console or writing Python, you'll find me:

I believe the best code is the code that solves real problems, and the best engineers are the ones who can explain their work without making people's eyes glaze over. Also, I'm pretty sure 90% of data engineering is just moving data from one place to another and making sure it doesn't break along the way. (The other 10% is figuring out why it broke anyway.)

Currently open to senior data engineering roles where I can build cool stuff, mentor teams, and maybe save some money along the way. If you're working on interesting data challenges and need someone who actually enjoys untangling technical debt, let's chat!

🚀 Experience

Data Engineer II

📍 The Hertz Corporation (TCS), Chicago, IL

Built direct cloud connections using AWS VPC Endpoint and PrivateLink for 10 different data sources (Databricks, S3, Kinesis, you name it), which meant our team no longer had to babysit agent-based connections that broke all the time—saving 36+ hours of maintenance headaches every year
Slashed our platform costs by $120K annually by optimizing how we moved and processed data, and as a bonus, everything runs 60% faster now
Set up proper DEV and PROD environments for 15 different use cases supporting 8,000+ users—before this, people were basically testing in production.
Lead a team of 5 engineers spread across different time zones, helping them level up through code reviews, documentation, and regular knowledge-sharing sessions—cut down our support escalations significantly
Created the RAC Directory app using Palantir Foundry to replace a nightmare Excel spreadsheet process for 25 people—now it handles 10,000+ records automatically and actually works

Palantir Foundry AWS Databricks Python Spark Airflow

Data Engineer

📍 FCA Stellantis (TCS), Michigan

Built end-to-end data pipelines with AWS and Databricks that power real-time dashboards for 2,000+ people across the company—basically turned raw vehicle data into insights that actually help people make decisions
Created interactive dashboards using Palantir Foundry that made it way easier for teams to explore data on their own, cutting down decision-making time by 80% (no more waiting days for reports!)
Dove into our data lineage to figure out why some datasets were so slow, then optimized them—improved downstream performance by 30% just by cleaning up the mess
Wrote a bunch of SQL solutions with window functions and complex queries to pull together business reports that actually answered the questions people were asking

AWS S3 Redshift Databricks Apache Hive SQL Python

🎓 Education

Master of Science in Information Systems (Data Science)

📍 New Jersey Institute of Technology (NJIT), Newark, NJ 📅 2019 - 2021

Specialized in Data Science, Machine Learning, and Advanced Analytics. Focused on building scalable data systems and predictive modeling.

Bachelor of Technology in Electronics Engineering

📍 Veermata Jijabai Technological Institute (VJTI), Mumbai, India 📅 2015 - 2019

Strong foundation in electronics, signal processing, and embedded systems. Developed problem-solving and analytical skills essential for data engineering.

💡 Featured Projects

Cloud Infrastructure Modernization

Led initiative to migrate 10 critical data sources from agent-based connections to direct VPC Endpoint/PrivateLink architecture, pioneering implementation for Databricks and Filenet integration with zero downtime.

AWS VPC PrivateLink Databricks

Real-time Analytics Dashboard

Built scalable real-time analytics platform processing 70GB+ daily data, serving 10K+ active users with sub-second query performance across batch and streaming pipelines.

Spark Kinesis AWS

⚡ Beyond Work

When I'm not architecting data platforms, you'll find me...

⚽

Playing Soccer

Weekday pick-up games and Sunday League. Equally loves watching too!

🎮

Gaming

Love to unwind in the open-world and grind my way up.

💪

Hitting the Gym

Yes, its equally important!

🏃

Running

Still a Beginner runner

🥾

Hiking in the outdoor

Wilderness hiking & catching breathtaking views? I'm all in!

🏎️

Go-Karting

Apexing the corners is the real skill

Hi there, 👋 I'm Aditya!