Cloud Data Engineer with 8+ years of experience designing scalable ETL/ELT pipelines, streaming solutions, and cloud-native data platforms across AWS and GCP. Skilled in Python, SQL, BigQuery, Dataflow, Airflow, Kafka. Extensive background in Pega application development API integrations, delivering secure, compliant, and high-performance solutions.
Programming Languages:
Python, Java, HTML, CSS, Java Script, React
Cloud Platforms:
Amazon Web Services (AWS), Google Cloud Platform (GCP)
Big Data & Streaming:
Spark, PySpark, Kafka, BigQuery, Redshift, Teradata, DynamoDB, Oracle
Data Orchestration & ETL:
Cloud Composer (Airflow), AWS Glue, Dataflow, Databricks, Pega, Camunda, Alteryx
DevOps & CI/CD:
Terraform, Git , AWS CloudFormation, Jenkins, Spinnaker
Monitoring & Observability:
Cloud Monitoring, Cloud Logging, AWS CloudWatch, Splunk, New Relic
Code Busters Award, JPMorgan Chase, 01/01/25, Developed an AI-driven Business Rules Engine to evaluate account opening rules from court order documents. Designed a four-step automation: data extraction, rule application, output formatting, and decision generation. Created a reusable LLM prompt for business rule execution across projects. Integrated document processing for automated rule execution.