π§ Lead Data Engineer | ETL Pipelines | Data Warehousing | Cloud Architectures
Iβm a passionate data engineer with over 12 years of industry experience, currently leading data initiatives at Cars24, designing scalable pipelines, optimizing Snowflake performance, and driving data quality initiatives for 360Β° customer analytics and reporting.
- Cloud: Snowflake, AWS, GCP, BigQuery, Redshift
- ETL / Data Pipelines: Airflow, DBT, Python, Apache NiFi, DMS
- Data Modeling: Star Schema, Snowflake Schema, Fact/Dimension Modeling
- DevOps / Infra: Terraform, Docker, CI/CD, Serverless Architecture
- Languages: Python, SQL, Typescript, Node.js
- Databases: MongoDB, MySQL, Postgres, ArangoDB
- Visualization: Apache Superset, Looker, Data Studio, DOMO
- Messaging & Integration: SQS, Lambda, GraphQL, Redis
- Advanced data modeling in analytics engineering
- Large-scale streaming pipelines with Kafka, Kinesis
- Vector DBs, Feature Stores (Feast), ML Inference at Scale
- Snowflake optimization & architecture
- Modern ETL/ELT pipelines with DBT and Python
- Data governance, quality, and observability strategies
- Building cross-functional data products that scale
- π Improved ETL efficiency by 30% integrating 4 diverse data sources
- π§Ή Led 20% improvement in clickstream data quality
- βοΈ Reduced deployment times by 40% via automated CI/CD pipelines
- π Enabled a comprehensive 360Β° user view for better decision-making
π« Email: [email protected]
πΌ LinkedIn: linkedin.com/in/roshanlabh