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Kiran paritala

@kiranparitala

Data Engineer at Airtel India who developed Spark pipelines processing daily network telemetry and user events.

At Airtel India, I engineered and maintained Spark and SparkSQL jobs on Databricks for network telemetry ingestion and transformation. I implemented medallion architecture and incremental data modeling patterns across Bronze, Silver, and Gold layers.

I also orchestrated Airflow workflows with data quality monitoring and developed Kafka and Structured Streaming consumers for real-time events. I optimized SQL queries and Python ETL scripts to reduce Redshift and BigQuery scan costs while maintaining pipeline SLAs.

At Cleveland State University, I led SQL lab sessions and designed assignments on SparkSQL, Python, schema design, and incremental data patterns. I also collaborated with instructors using Python and Airflow to automate feedback workflows.

Experience

Work history, roles, and key accomplishments

Graduate Teaching Assistant

Cleveland State University

Jan 2026 - May 2026 (4 months)

Led weekly SQL lab sessions focusing on SparkSQL and Python to optimize query logic for over 50 students. Designed lab assignments covering normalized schema structures, dimensional data modeling, and incremental data patterns.

SQL SparkSQL Python Airflow Data Modeling Schema Design Dimensional Modeling Incremental Modeling

Software Engineer (Data Engineering)

Airtel India

Oct 2021 - Feb 2024 (2 years 4 months)

Engineered and maintained over 30 Spark and SparkSQL jobs on Databricks, ensuring reliable ingestion and transformation of terabytes of daily network telemetry data with 99.9% uptime. Architected dimensional data models and optimized SQL schemas for large-scale subscriber and transaction datasets, improving query performance by 45%.

Education

Degrees, certifications, and relevant coursework

Cleveland State University

Master of Science, Computer Science

2024 -

Grade: 3.26

Pursuing a Master of Science in Computer Science with a focus on data engineering, including coursework in big data, machine learning, and database systems.