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Mukesh Pappula

@mukeshpappula

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Data Engineer at Voltas building supply-chain ETL pipelines processing 100,000 records per hour.

United States

Message

At Voltas, I orchestrate supply-chain ETL pipelines across 20 data sources using Apache Airflow, Python, Apache Kafka, and AWS Glue. I also work on real-time processing and data-quality monitoring for supply-chain data.

At PrimeTek, I developed ETL pipelines integrating 12 data sources into Azure and delivered 10 Power BI dashboards for 50 stakeholders. I also worked with data scientists on demand forecasting models that improved forecast accuracy by 15%.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Voltas

Jun 2025 - Present (1 year 4 months)

Orchestrated ETL pipeline architecture for supply chain management using Apache Airflow, Python, Apache Kafka, and AWS Glue. Implemented data quality and monitoring with Apache NiFi and AWS CloudWatch, and automated data lineage tracking with Apache Atlas.

Airflow Python Kafka AWS Glue Apache NiFi Cloudwatch AWS Kinesis Apache Atlas Snowflake AWS Code Pipeline SSIS PySpark Spark SQL S3 Docker Kubernetes SQL JSON Prometheus REST APIs SOAP APIs

Data Engineer

PrimeTek

May 2022 - Jul 2024 (2 years 2 months)

Developed end-to-end ETL pipelines using Python, SQL, and Azure Event Hubs for integrating heterogeneous data sources into Azure cloud services. Optimized complex SQL queries and implemented data processing workflows with Python libraries, leading to faster processing times.