Summary
Overview
Work History
Education
Skills
Websites
Timeline
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Kirankumar Danthala

Dallas,United States

Summary

Results-driven Data Engineer & AI Specialist having around 6 years experience with proven success in designing scalable data pipelines and AI-driven analytics platforms across various domains. Expert in Apache Spark, Kafka, Airflow, Snowflake, Azure, GCP, and AWS, enabling reliable and high-performance data processing. Skilled in modernizing BI ecosystems, migrating legacy systems, and deploying predictive ML models that improve efficiency and reduce latency. Known for blending deep technical expertise, delivering measurable impact — 40% faster data processing, 30% cost optimization.

Overview

7
7
years of professional experience

Work History

Data Engineer/Analyst

Austin Independent School District
01.2023 - Current
  • Built and optimized Snowflake data pipelines, integrating AI models with AWS SageMaker and Bedrock services to deliver predictive insights from diverse data formats (structured, semi-structured, and unstructured).
  • Migrated SQL scripts from Oracle DB to IBM DB2 and PostGres DB, ensuring compatibility with the ERP system.
  • Rebuilt legacy Power BI dashboards in Tableau and designed new interactive dashboards in Power BI, Tableau, and QuickSight to track key student performance KPIs, enabling data-driven decisions for academic and District improvement initiatives.
  • Developed and Automated ETL processes using Alteryx, enhancing reporting speed for District administrators.
  • Implemented large-scale data processing pipelines using Apache Spark to handle high-volume student and ERP system datasets, enabling faster analytics, predictive modeling, and seamless integration with cloud data warehouses.

Data Engineer

Vodafone Idea Limited
06.2018 - 06.2021
  • Designed and optimized Distributed data processing frameworks using Hadoop and Apache Spark, writing efficient PySpark code to handle terabytes of structured and unstructured telecom data, reducing batch processing times by 40% and enabling scalable AI-driven analytics.
  • Engineered scalable data pipelines using Apache Spark, Kafka, and Airflow to process high-volume call detail records.
  • Applied AI/ML models for predictive modeling and anomaly detection to enhance customer retention strategies.
  • Optimized Azure and Snowflake infrastructure, reducing processing time by 30% and improving network reliability.
  • Leveraged GCP BigQuery and Dataflow to analyze large-scale network telemetry and usage data, applying ML models with Vertex AI to detect anomalies and forecast capacity needs across telecom infrastructure.

Education

Master's degree - Computer Science

University of North Texas
12.2022

Bachelor's degree - Computer Science

Lovely Professional University
05.2019

Skills

  • Data Engineering: Apache Spark, Kafka, Airflow, Hadoop, Alteryx, Kubernetes
  • AI/ML: AWS SageMaker, AWS Bedrock, Predictive Modeling, Anomaly Detection, Forecasting
  • Cloud Platforms: Snowflake, AWS, Azure, GCP (BigQuery, Dataflow, Vertex AI)
  • Programming & Scripting: Python, PySpark, SQL, shell
  • BI & Visualization: Tableau, Power BI, Amazon QuickSight

Websites

Timeline

Data Engineer/Analyst

Austin Independent School District
01.2023 - Current

Data Engineer

Vodafone Idea Limited
06.2018 - 06.2021

Bachelor's degree - Computer Science

Lovely Professional University

Master's degree - Computer Science

University of North Texas

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