Big Data Engineer focused on backend systems, streaming pipelines, and cloud data platforms.
- Production data platforms for analytics and experimentation
- Event-driven backend workflows with strong reliability guarantees
- Streaming and batch pipelines that stay maintainable at scale
- Cloud-native systems on AWS with observability and CI/CD in mind
Languages Python | Go | Scala | Java | SQL | Bash
Data Spark | Kafka | Hudi | Beam | Airflow / MWAA
Cloud (AWS) EMR | Glue | Lambda | Athena | Redshift | S3
Datastores PostgreSQL | MongoDB
Delivery Docker | Jenkins
- Building resilient streaming + batch systems
- Improving data quality and late-arrival handling
- Delivering low-latency access patterns for product and analytics teams




