Summary
Experienced Data Engineer with 5+ years of experience building scalable cloud-native solutions across healthcare, telecom, and airline industries. Expert in ETL development, real-time streaming, and data warehousing using tools like Spark, Snowflake, and Airflow across AWS and Azure. Passionate about solving business problems with data-driven strategies.
Technical Skills
- Big Data: Hadoop, Spark, Flink, Hive
- Streaming: Kafka, Flink, Beam
- Cloud: AWS (S3, Redshift, EMR), Azure (ADF, Synapse, Databricks), GCP (BigQuery)
- ETL: NiFi, Glue, ADF, Talend
- Databases: PostgreSQL, SQL Server, MongoDB
- DevOps: Jenkins, Terraform, Docker, GitHub Actions
- Languages: Python, SQL, Java
- Monitoring: Splunk, Grafana
- BI Tools: Power BI, Tableau
Projects
- Airline Data Lakehouse using Databricks & Snowflake – Boosted analytics speed by 40%.
- Real-Time Claims Pipeline with Kafka + EMR – Enabled proactive fraud detection.
- Healthcare DWH Migration – Delivered HIPAA-compliant and 30% faster reporting.
Education
Master’s Degree in Data Science
University of North Texas
Graduated: December 2024
Achievements
- Cut ETL run time by 50% at T-Mobile through Spark optimization.
- Recognized at American Airlines for leading cloud data migration.