TEJA MULE

I’m a Data Engineer with 4+ years designing, building, and optimizing data pipelines and architectures for large-scale data processing. I leverage modern data engineering tools and cloud technologies (AWS, Azure, GCP) to enable data-driven decision-making.

At BMO Bank, I designed and optimized pipelines using Azure Data Factory and Azure Databricks, integrating core banking, investment, and customer data to support real-time analytics. I built event-driven architectures with Apache Kafka and Azure Synapse Analytics for transaction processing, fraud detection, and regulatory compliance reporting.

I also orchestrate large-scale workflows with Apache Airflow and build interactive dashboards using Power BI and Tableau for KPIs like loan performance, credit utilization, and customer churn. To keep pipelines reliable, I’ve built data quality frameworks with validation rules, anomaly detection, reconciliation checks, and automated alerts.

Previously at Ericsson, I engineered AWS-based pipelines using AWS Glue, AWS Lambda, and Amazon S3, and implemented infrastructure provisioning with IaC via AWS CloudFormation or Terraform. Across my earlier role at Kotak Mahindra Bank, I used Apache Spark (PySpark/Scala) and Kafka-based ingestion to support risk assessment, regulatory reporting, and real-time analytics—then delivered secure, automated deployments with CI/CD and containerized microservices.