Retail Media Pipelines
Large-scale data pipelines for retail transaction and media-performance datasets at Dunnhumby — built and optimized to be reliable at scale, not just functional.
- PB-scale datasets
- GCP native
- prod daily
available for opportunities / data engineer / 2026
I turn messy data
into pipelines the
business can
trust.
rely on.
build on.
act on.
I'm Sahil — a Google-certified Professional Data Engineer at Dunnhumby, building large-scale PySpark & SQL pipelines on GCP and BigQuery that turn raw retail data into decisions people can act on.
Who I am, in plain terms.
I'm a Junior Data Engineer at Dunnhumby, where I build and optimize large-scale data pipelines with PySpark and SQL for retail transaction and media-performance datasets — turning raw retail data into decisions people can act on.
Most of my work runs on Google Cloud Platform, especially BigQuery, processing datasets at scale and translating business requirements from cross-functional teams into pipelines that are reliable, not just functional. I hold Google's Professional Data Engineer certification, plus certs in Generative AI, LLMs, and Responsible AI.
Before data engineering I built ERP modules in Python at Odoo, and led the Alexa Developer Community at Chandigarh University — running workshops and hackathons that got other students building.
profile.yaml
v2026
rolejunior_data_engineer
companydunnhumby
focuspipelines / etl
languages[python, pyspark, sql]
cloud[gcp, bigquery]
certifiedgoogle_data_engineer
statusopen_to_work
0
year building production pipelines
0
Google / Coursera certifications
0
GCP / BigQuery workflows
0
accuracy on ML forecasting model
What I work with.
Python92%
Daily driver for pipelines, scripting, and ML experiments.
SQL88%
Query optimization and transformation logic on large datasets.
PySpark85%
Core tool for large-scale distributed data processing at work.
GCP / BigQuery82%
Google Certified — querying and managing datasets at scale.
Machine Learning75%
Model building with scikit-learn and TensorFlow for applied problems.
Django70%
Backend development for internal tools and side projects.
also working with
- pandas
- scikit-learn
- TensorFlow
- yfinance
- Odoo ORM
- Tkinter
- Pillow
- Git
Selected projects.
Forecasting Financial Markets
Led a 3-person team to build a market-trend prediction model on historical price data, reaching 85% accuracy with classical ML.
- 85% accuracy
- 3 person team
- lead role
Inscriber
Desktop app for encrypting and decrypting text messages — a hands-on exploration of practical cryptography and a clean Tkinter UI.
- encrypt / decrypt
- desktop app
Core Encrypter
Steganography app that hides secret messages inside images through a simple interface — cryptography you can see, or rather, can't.
- steganography
- image based
Where I've worked.
Oct 2024 — Present
Junior Data Engineer
Dunnhumby IT ServicesBuild and optimize large-scale data processing pipelines using PySpark and SQL for retail transaction and media-performance datasets. Work extensively on GCP and BigQuery, collaborating with cross-functional teams to translate business requirements into scalable data engineering solutions.
Aug 2024 — Oct 2024
Python Developer Intern
OdooDeveloped and customized Odoo ERP modules in Python for sales, inventory, and accounting. Used the Odoo ORM to design data models, implement business logic, and build forms, lists, and reports.
Oct 2022 — Apr 2024
Lead Executive
Alexa Developer Community · Chandigarh UniversityOrganized developer workshops, hackathons, and seminars to strengthen the campus technology community, supporting engagement and technical learning among students.
Degree & certifications.
degree.md
2020 — 2024
B.E. Computer Science
Chandigarh University, Mohali · CGPA 7.57 / 10
- OOP
- Databases
- DSA
- Operating Systems
- Computer Networks
- Machine Learning
- Data Mining
- Image Processing
// 06 · contact
Let's build something
Let's build something
worth trusting.
Open to data engineering opportunities — or just a good conversation about pipelines, GCP, and generative AI.