👋 About Me

Results-driven Senior Data Engineer with extensive experience in big data, cloud computing, and scalable data pipeline development. Expertise in AWS and Azure cloud ecosystems, leveraging Apache Spark, Airflow, Snowflake, and SQL to design and optimize ETL pipelines. Strong background in data modeling, data lakehouse architecture, and performance tuning to enhance processing efficiency and cost optimization.

🏆 Certifications (Available Upon Request)

To maintain privacy, full certification details are available upon request. Please feel free to reach out for verification or additional information.

• AWS Certified Data Engineer - Associate
• Microsoft Certified Azure Data Engineer Associate
• Astronomer Certification for Apache Airflow
• Data Engineer Associate (DataCamp)
• SQL Associate (DataCamp)

💻 Technical Skills

• Data Engineering: ETL, Data Pipelines, Data Warehousing
• Cloud Platforms: AWS, Azure, GCP
• Programming: Python, SQL, PySpark
• Tools: Airflow, Glue, Redshift, Athena, Terraform, DataSwarm
• Databases: MySQL, PostgreSQL, SQL Server, Teradata, Oracle, Cassandra, MongoDB
• DevOps & CI/CD: Docker, Kubernetes, Jenkins, Terraform, Git
• Data QA & Validation: Data quality checks, defect triaging, anomaly detection, SLA monitoring