ecommerce GCP Streaming pipeline ― Cloud Storage, Compute Engine, Pub/Sub, Dataflow, Apache Beam, BigQuery and Tableau; GCP Batch pipeline ― Cloud Storage, Dataproc, PySpark, Cloud Spanner and Tableau

An end-to-end machine learning project predicting DoorDash delivery durations, utilizing MLOps principles and best practices.

Docs-only case study of a compliance & anomaly detection platform on Azure + Databricks (Streaming ETL + Batch ELT + ML).

Data Engineer Training Using Google Cloud Platform

Event-driven data pipeline prototype combining batch and streaming processing with Kafka, Redis, and PostgreSQL — built for learning and realistic data-engineering demos using NYC Taxi data.

Sanitized ML-based risk scoring pipeline for a Tier-1 UK Retail Bank (GCP + BigQuery ML). Includes Batch/ETL ingestion, feature engineering, BQML training, scoring workflows, governance, lineage, and runbooks. No client code/data.

Docs-only case study – Compliance Reporting data platform on Azure for a Big-4 Audit & Consulting Firm (BFSI, healthcare-style datasets) using Streaming Pipeline (ETL) + Batch Pipeline (ELT) with Snowflake, Synapse, ADF, Power BI, ML risk scoring, DQ, governance, and lineage.