DATA ENGINEER • CLOUD • PIPELINES
I design reliable ETL workflows, improve data quality, and ship analytics-ready datasets using SQL, Python, Spark, Airflow and cloud services.
I’m a Data Engineer who enjoys building data systems that teams can trust. My work sits at the intersection of engineering and analytics — turning raw, inconsistent inputs into clean, query-ready datasets that power dashboards, reporting, and product decisions.
I care about the details that make pipelines production-ready: data contracts, validation rules, monitoring, and recoverability. I also love simplifying complexity , designing workflows that are easy to maintain, easy to debug, and built to scale.
Beyond tools and pipelines, I value clarity and ownership. I take responsibility for the full lifecycle of data from ingestion to consumption, ensuring definitions are aligned, assumptions are documented, and downstream users can rely on the data. My goal is to make data products feel boringly reliable.
Define clear inputs/outputs, add validation checks, and keep datasets reproducible.
Monitor freshness, anomalies, failures, and SLA risks so issues are caught early.
Use simple patterns, reusable components, and docs so pipelines scale with the team.
Work backward from the question and deliver clean tables that drive decisions.
Write crisp updates, align definitions, and make trade-offs visible to stakeholders.
Take responsibility for delivery, quality, and long-term reliability — not just code.
Pipelines, orchestration, reliability
Scalable, cost-aware systems
From raw data → decisions
Optimove · New York City, NY
New Jersey Institute of Technology · Newark, NJ
New Jersey Institute of Technology · Newark, NJ
New Jersey Institute of Technology · Newark, NJ
Faces Canada · India
New Jersey Institute of Technology
Punjab Engineering College
Hands-on credentials across data + analytics.
User-focused task tracking application designed for clean workflows and usability.
E-commerce experience showcasing product discovery, UI flows, and checkout journeys.
Applied supervised learning models with feature analysis and performance evaluation.
Deep learning pipeline using CNNs for medical image classification and detection.
Backend API built with FastAPI to log and manage daily events via REST endpoints.
Interactive Power BI dashboard analyzing Netflix content and viewing trends.
End-to-end big data pipeline for scalable processing and analytics using PySpark.
Exploratory analysis and visualization of global COVID-19 datasets.
KPI-driven Power BI dashboard analyzing churn and customer retention patterns.
Power BI dashboard analyzing diversity, inclusion, and workforce equity metrics.
Interactive Power BI dashboard uncovering call volume, agent performance, and service trends.
Hackathon project focused on space data exploration and intelligent analytics solutions.
Sustainability-focused analytics project developed during a global innovation hackathon.
Sports analytics dashboard analyzing player performance and match trends using Power BI.
Python-based GenAI chatbot developed as part of BCG’s virtual internship program.
Business analytics and visualization project completed during Accenture virtual internship.
Data visualization project analyzing online retail performance and customer behavior.
Want to collaborate or have a role in mind? Send a message — I’ll reply soon.
