Data Professional

Hi, I'm Sudhesh Prabhu.

I build data pipelines and cloud data platforms that turn scattered sources into reliable, analytics-ready data.

About

A bit about me

I'm a data professional with 10 years of experience in banking and finance. I'm currently a Data Owner at JPMorgan Chase for Digital Communications, the product that sends more than 5 billion alerts and notifications to customers across the bank.

I work closely with Product Tech, application and Data Technology teams to build pipelines that move data from system-of-record (SOR) application databases into our AWS S3 data lake and on to Snowflake, using CockroachDB, S3, Snowflake and Python. I use GitHub Copilot extensively to automate parts of my day-to-day work, and Claude Code to build my own projects.

Before this I was a data scientist and senior data engineer at JPMorgan Chase, and a data engineer at Tiger Analytics and Wells Fargo, designing and supporting large-scale pipelines on Spark, Hadoop and AWS, and preparing data for analysts and data scientists. I also hold a Post Graduate Certification in Data Science and Engineering from IIIT Bangalore.

Based in Bengaluru, India.

Experience

Where I've worked

Career at a glance · 2016 to today

JPMorgan Chase 2022–now
Tiger Analytics 2022
Wells Fargo 2016–2022

JPMorgan Chase
Dec 2022 — Present
1. Data Owner
  Jul 2026 — Present
  - Data owner for Digital Communications, which sends 5B+ alerts and notifications to customers across the bank.
  - Partner with technology teams on pipelines from SOR databases to the S3 data lake and Snowflake.
2. Data Scientist
  Jan 2025 — Jun 2026
  - Built customer sub-segments for marketing and targeting using K-means and supervised learning.
  - Worked on every step, from building the input datasets to delivering the final segments.
3. Senior Data Engineer
  Dec 2022 — Dec 2024
  - Built PySpark pipelines on AWS EMR unifying 10+ sources for analytics and customer segmentation.
  - Led the migration of customer data from Hadoop and Teradata to Snowflake.
Tiger Analytics
Jul 2022 — Nov 2022
1. Data Engineer
  - Built Spark pipelines on AWS for Lands' End's dynamic promotions application.
Wells Fargo
Jul 2016 — Jul 2022
1. Data Engineer
  - Grew from Apps Programmer/Analyst to Data Engineer on the Capital Mortgage Operational Data Store.
  - Built ETL with Ab Initio, Hadoop and Teradata, and provided Level 3 production support.

Skills

What I work with

Big Data

Apache Spark (PySpark)
Hadoop
Hive
HDFS
Sqoop
Airflow

Cloud (AWS)

EMR
S3
Glue
Athena
Redshift

Data Stores

Snowflake
CockroachDB
Teradata
Redshift

Languages & Tools

Python
SQL
UNIX shell
Ab Initio
GitHub
Jenkins
CI/CD

AI Tools

GitHub Copilot
Claude Code

Practices

Pipeline design & optimisation
Data lake & warehouse architecture
Regulatory reporting
Agile

Projects

Selected work

All projects →

JPMorgan Chase · Data Owner · 2026

Alerts 2.0 Migration

Migrating the bank's alert preferences application from a legacy platform to Alerts 2.0, including a new database and an entirely new data pipeline.

Moved the application from a legacy database to CockroachDB
Built a new pipeline from CockroachDB to the AWS S3 data lake and on to Snowflake
Coordinated product, technology and data technology teams for a smooth cut-over
Involved in every stage of testing

CockroachDB
AWS S3
Snowflake
Python
Data Migration

Personal project · 2026

Play Chess

A free chess web app: play eight bots powered by Stockfish, review your games, solve puzzles, learn openings and follow live tournaments, all running in the browser.

Stockfish running in the browser as WebAssembly, with eight bots from ~400 to full strength
Move-by-move game review with accuracy, an evaluation graph and blunder detection
10,000 puzzles and 3,865 openings built from the Lichess open databases
FIDE top-100 lists refreshed monthly by an automated data pipeline

Next.js
TypeScript
React
Stockfish
Vercel
Claude Code

Customer Sub-Segmentation

Customer sub-segments for marketing and targeting, built with K-means clustering and supervised learning on secure, enriched datasets.

Built the input datasets for clustering with PySpark on AWS EMR
Created sub-segments using K-means, followed by supervised learning
Enriched customer data with bureau and credit history via Redshift
Worked on every step, from raw data to final segments

K-means
Supervised Learning
PySpark
AWS EMR
Snowflake

JPMorgan Chase · Senior Data Engineer · 2024

Digital Channel Submission Rate

Migrated legacy Hive workflows to an automated PySpark and Airflow pipeline powering Tableau dashboards on digital customer activity.

Cut processing time from 12 hours to under 2
Replaced manual Hive workflows with PySpark on Hadoop
Fully automated scheduling and orchestration with Airflow
Fed Snowflake and Tableau for near real-time digital metrics

PySpark
Hadoop
Airflow
Snowflake
Tableau

Education

Learning & credentials

Post Graduate Certification in Data Science and Engineering
Jan 2024 — Feb 2025
IIIT Bangalore · CGPA 3.7/4
B.E. in Computer Science and Engineering
Aug 2012 — Jul 2016
R.V. College of Engineering, Bangalore · CGPA 8.8/10

Certifications

AWS Certified Data Analytics – Specialty
AWS Certified Developer – Associate
AWS Certified Cloud Practitioner

Beyond work

Off the clock

Chess

I've always loved the game, so I built play-chess.in to play, solve puzzles and follow the world's top players.

Play a game on play-chess.in ↗

Cricket

A big cricket fan, and a loyal supporter of Royal Challengers Bengaluru (RCB).

Reading

I enjoy reading. My favourite book is The Stranger by Albert Camus.

Writing

Latest posts

All posts →

24 Oct 20267 min readHow I built play-chess.inThe story and the technical details behind my chess web app: Stockfish in the browser, game reviews, puzzles, openings, live tournaments, and the open-source projects that made it possible.

Contact

Let's work together

I'm open to new roles, collaborations and interesting data engineering problems. The quickest way to reach me is by email.

Email me LinkedIn GitHub