Hi, I’m Chinmay Hebbal 👋
Data Engineer | Cloud Architect | Analytics Expert
Building scalable data pipelines, cloud platforms, and actionable insights that drive business performance.
About Me
Who I am and what I do
Data Engineer & Cloud Specialist
I’m Chinmay Hebbal, a passionate Data Engineer with expertise in building end-to-end data solutions. I specialize in designing and implementing scalable data pipelines, cloud architectures, and analytics platforms that turn raw data into actionable business insights.
With hands-on experience in modern data stack technologies including Apache Spark, dbt, Snowflake, and AWS/GCP cloud platforms, I help organizations unlock the full potential of their data assets.
📍 Location: India
💼 Experience: 5+ Years
🎓 Education: B.E. Computer Science
📧 Email: chinmay.hebbal1@gmail.com
Skills & Technologies
Technologies I work with
🔧 Data Engineering
Apache Spark · Apache Kafka · Apache Airflow · dbt · Hadoop · Flink · NiFi · Databricks
☁️ Cloud Platforms
AWS (S3, Glue, Redshift, Lambda) · Google Cloud Platform · Azure · Snowflake · BigQuery
📊 Analytics & BI
Power BI · Tableau · Looker · Apache Superset · Grafana · Python · R · SQL
Featured Projects
Some of my recent work
Real-Time Data Pipeline
Built a real-time streaming pipeline using Apache Kafka and Spark Streaming, processing 10M+ events/day with sub-second latency for e-commerce analytics.
Kafka · Spark · AWS · Python
Cloud Data Lakehouse
Designed and implemented a multi-cloud data lakehouse architecture on GCP + Snowflake, reducing query times by 70% and cutting storage costs by 40%.
GCP · Snowflake · dbt · Terraform
Analytics Dashboard Platform
Developed an end-to-end BI platform with automated ETL using Airflow and dbt, powering executive dashboards tracking 50+ KPIs across business units.
Airflow · dbt · Power BI · SQL
Experience
My professional journey
Senior Data Engineer
Tech Company · Full-time
Led design and implementation of enterprise data platforms, managing petabyte-scale data infrastructure. Architected ETL pipelines reducing processing time by 60% and mentored junior data engineers.
2022 – Present
Data Engineer
Analytics Firm · Full-time
Built and maintained data pipelines for multiple clients across fintech and e-commerce sectors. Developed real-time streaming solutions using Kafka and Spark, improving data freshness from daily to near real-time.
2020 – 2022
Started career building SQL-based reporting systems and dashboards. Gained expertise in data modeling, query optimization, and business intelligence tools while supporting data-driven decision making.
2019 – 2020
Get In Touch
Interested in collaborating or have a project in mind? Let’s connect!