Senior Data Engineer with 14+ years of experience spanning data engineering and software engineering, delivering large-scale, low-latency pipelines that power analytics, ML, and real-time applications. Expert in AWS, Airflow, dbt, Databricks, and Redshift, with a proven record of reducing cloud costs, cutting pipeline latency by 60%, and enabling millions of user transactions. Adept at leading architecture, mentoring teams, and delivering solutions in fast-paced startup and enterprise environments.
Data Engineering: Airflow, dbt, Databricks, Redshift, Postgres, ETL/ELT Pipelines, Mongo,SQL
Cloud & Infra: AWS (EC2, S3, VPC, Lambda, IAM, ECS, Glue, Kinesis, EMR, Aurora), Terraform, Docker
Streaming & Messaging: Kafka, Kinesis Streams, Storm
Monitoring & Observability: Datadog, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana)
Programming: Python, Java, Scala, SQL, Shell Scripting
DevOps & CI/CD: Jenkins, GitLab CI/CD, Maven, Gradle
Other: Agile, TDD, API Design, Data Governance, Security Compliance
AWS Solutions Architect