Passionate about transforming complex data into actionable insights and building scalable data infrastructure. Currently working in analytics while expanding expertise in cloud-native data engineering.
Languages: Python, SQL, PySpark, CQL
Cloud & Engineering: AWS (Redshift, Glue, S3, Athena, EC2, ECR, EKS, CodeBuild, CloudWatch), Apache Airflow, Apache Spark, Docker, Kubernetes
Analytics: Power BI, Tableau, DAX, Statistical Analysis
Data Governance: PII Protection, Data Quality, SCD (Slowly Changing Dimensions), AWS IAM(Identity Access Management)
- Building automated data pipelines with Airflow and AWS Glue
- Designing lakehouse and data warehouse architectures
- Creating interactive dashboards for business insights
- Implementing data governance and quality practices
- Udacity Data Engineering with AWS Nanodegree
- Virtual Job Simulation Experience: PwC Power BI, British Airways Data Science, Quantium Analytics