▶ Hello, world. I'm
I design and build the pipelines, platforms, and infrastructure that turn raw data into reliable, scalable, and actionable intelligence.
01 / About
Hi! I'm Prashant Gangoliya, a Data Engineer based in Bengaluru, India. I specialize in building robust data infrastructure — from ingestion and transformation to serving — that empowers teams to make confident, data-driven decisions.
With a background in data engineering, data analytics and cloud architecture, I care deeply about data quality, pipeline observability, and engineering systems that are easy to reason about and maintain.
When I'm not wrangling data, learning about data engineering or AI/ ML, or exploring a new trail on my bike.
Building fault-tolerant batch and streaming pipelines at scale, from ingestion to delivery.
Designing lakehouse architectures and cloud-native data platforms on AWS, GCP, and Azure.
Instrumenting pipelines with lineage, monitoring, and testing so teams trust their data.
02 / Stack
03 / Projects
End-to-end change data capture system using Debezium and Kafka to stream Postgres changes into a Delta Lake data lakehouse with sub-second latency.
Modular dbt project implementing a Medallion architecture (Bronze / Silver / Gold) on Snowflake, with CI/CD, data contracts, and automated testing.
Reusable Airflow DAG framework with dynamic task generation, Slack alerting, SLA monitoring, and a custom operator library for common data tasks.
Infrastructure-as-code for a production lakehouse on S3 + Glue + Athena + Iceberg, provisioned with Terraform and cost-optimized with intelligent tiering.
Lightweight data observability tool that profiles tables, detects anomalies, tracks schema changes, and pushes alerts to Slack and PagerDuty.
Flink-powered streaming job that aggregates e-commerce events in real time and serves live KPIs to a Grafana dashboard via a Redis sink.
04 / Contact
I'm open to freelance projects, full-time roles, and interesting collaborations. Drop me a message and I'll get back to you within a day.
✉ E-Mail