💼 Skills & Expertise

🚀 Data Engineering & ETL (Primary Focus)

ETL Tools: Informatica PowerCenter, Apache Airflow, AWS Glue, Apache NiFi
Data Processing: Apache Spark, Hadoop (HDFS, MapReduce, YARN), PrestoDB
Workflow Automation: Designed scalable ETL pipelines handling large-scale datasets
Data Integration: Experience integrating structured and unstructured data for real-time analytics
Data Warehousing: Redshift, Snowflake, Db2, HBase, PostgreSQL, Cassandra
Governance & Lineage: IBM Watsonx.data, AI-powered metadata & lineage tracing
Messaging & Streaming: Kafka, Kinesis

Cloud Services: AWS (EC2, S3, Lambda, RDS, Glue, Redshift, EMR, Athena, Kinesis, Route53)
Infrastructure as Code: Terraform (multi-env), CloudFormation
Security: IAM roles, S3 bucket policies, KMS encryption
Networking: VPC, Subnets, NAT Gateway, ELB, Route Tables
Monitoring & Logging: CloudWatch, AWS Config, Splunk

CI/CD Tools: Jenkins, GitHub Actions, AWS CodePipeline & CodeBuild
Containers: Docker, Kubernetes, OpenShift
Configuration Management: Ansible
Scripting & Automation: Bash, Python (for infrastructure, ETL, and monitoring automation)

AI Platforms: IBM Watsonx.ai, Watsonx.data
RAG-based Search & Vector Embeddings
LLM Applications: Built conversational interfaces & AI-driven data querying systems
BI & Visualization: Power BI, Streamlit, Tableau (basic), QuickSight
Data Governance: Watsonx.data classification, lineage, metadata enrichment

Front-End: HTML, CSS, JavaScript, React.js, Bootstrap
Back-End: Node.js, Express.js, MongoDB
Built full-stack apps including dashboards and internal tools for project visibility and analytics.

Published technical blogs on Data Engineering, Watsonx, OpenShift, Docker, and more
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