A Data Engineering professional with ~3 years of experience in building scalable ETL/ELT pipelines, transforming raw data into actionable insights using cloud-native and on-premise tools.
π§ I design, develop, test, and monitor robust data workflows across batch and streaming architectures.
π Delivered 150+ ETL pipeline mappings using enterprise and cloud platforms.
π Actively growing in stream processing, orchestration, lakehouse architectures, and data analytics.
- Informatica IICS & PowerCenter
- AWS Glue, AWS S3, AWS Athena
- Apache Airflow (workflow orchestration)
- Apache Kafka (real-time data streaming)
- Oracle SQL, MySQL, PostgreSQL
- MongoDB, AWS DocumentDB
- Snowflake
- Power BI
- Amazon QuickSight
- AWS (Glue, S3, Athena, IAM, Lambda, CloudWatch)
- Azure (Basic knowledge)
- Google Cloud Platform (GCP) (Basic knowledge)
- IBM IWS/TWS, DWC, Netcool
- ServiceNow, Jira, Confluence
- PuTTY, Unix-based job monitoring & scheduling
- Cloud-Native ETL & ELT Design
- Scalable Data Pipelines (Batch + Streaming)
- Data Lake & Lakehouse Architecture
- Job Orchestration & Automation
- Data Quality, Lineage & Monitoring
- Analytical Reporting & Visualization