Data Engineer with expertise in ETL workflows, Data Warehousing, BI, and AWS. I architect high-scale pipelines and dashboards for real-time decision making.
I help startups and businesses build scalable ETL systems that process millions of records without breaking the bank. From real-time data processing to cost-effective cloud architecture.
Build scalable ETL pipelines processing 100K+ records/min with Prefect, Celery & AWS
Full-stack Django applications with modern frontends (HTMX, Alpine.js, Tailwind)
Reduce cloud costs by 80%+ through architecture optimization and best practices
Building long-term partnerships through quality work and reliable delivery
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Developed Celery-based Data Harvester processing 100K URLs in 15 minutes (111 req/sec)
Built 150+ Prefect pipelines processing GBs of data daily
Built S3 data lake storing ~20 GB daily, eliminating Redshift
Reduced report latency from 6–24 hrs to 10 sec–5 min
Reduced cloud costs from $5,000 to $600–$700 through optimization
Unacademy (Analytics)
Applied RFM-based customer segmentation to boost quarterly revenue
Created SQL and Python-based dashboards for data-driven decisions
BMS Institute of Technology and Management
Jun 2013 – Jul 2017 • Bangalore
GATE 2020
View Certificate →GATE 2019
View Certificate →Certificate of Appreciation
Blooprint - Innovation & Technical Contribution
Explore my portfolio of data engineering, web development, and machine learning projects
AdTech real-time analytics pipeline using Kinesis, Flink, and Iceberg on AWS.
SCD2 travel data warehouse with Delta Lake for analytic insights.
Real-time CDC pipeline for UPI transactions using Delta CDF and Databricks.
Real-time streaming dashboard using Kafka, Flink & Django with sub-second live updates.
End-to-end ML pipeline for customer segmentation using RFM analysis. Includes data preprocessing, feature engineering, clustering algorithms, and model deployment.
Production-ready FastAPI template with authentication, database migrations, caching, background tasks, and comprehensive testing setup.
Learn how to integrate Tailwind CSS 4 with Django for modern, utility-first styling. This guide covers installation, configuration, and best …
Learn PySpark from basics to advanced concepts. This comprehensive guide covers DataFrames, transformations, actions, optimizations, and real-world use cases for …
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