Kusuma Kumari Dama
Software Engineer @Axitemus
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WORK HISTORY
Software Engineer @Axitemus
Designed and managed data lake and warehouse infrastructure using AWS Redshift, Glue, Lake Formation, EMR, and Athena.• Developed complex ETL pipelines integrating multiple commercial and operational systems into unified analytics models.• Built and delivered interactive BI dashboards using QuickSight to support leadership insights and KPI tracking.• Improved pipeline speed and reliability through Spark optimization, partitioning, and caching.• Enhanced multi-team collaboration by managing cross-functional data requests and ensuring timely delivery.• Strengthened cloud security through IAM enforcement, encryption, and governance controls.• Increased system reliability by improving monitoring, logging, and alerting across pipelines.Skills: AWS, Redshift, Glue, Lake Formation, Spark/Scala, Athena, Python, ETL/ELT, Data Warehousing, BI (QuickSight), Data Modeling, Security
EDUCATION
CMR Engineering College
Bachelor's degree, Electronics and Communication Engineering
University of North Texas
Master's degree, Computer Science
ABOUT KUSUMA KUMARI DAMA
I’m a cloud-first Data Engineer obsessed with building blazing fast, scalable, analytics-ready data ecosystems. Over the past 3+ years, I’ve architected real-time streaming systems, cloud native ETL pipelines, and enterprise data platforms across AWS, Azure, and GCP, turning chaotic data into clean, automated insight engines.My toolkit includes Spark, Kafka, dbt, Airflow, Redshift, PySpark, Terraform, and Python, powering systems that move millions of records in real time with rock solid reliability. I’ve cut pipeline latency by 30%, boosted query performance by 40%, enforced 90%+ data test coverage, and reduced cloud costs by over $10K annually.I thrive where data engineering, cloud architecture, and automation collide. Whether it’s streaming pipelines, ML feature stores, data quality frameworks, or cost-efficient data lakes, I design architectures that feel effortless for users but are engineering powerhouses under the hood.Colleagues know me as the calm brain in high pressure situations, someone who can debug a failing Spark job, refactor a dbt model, and explain the architecture clearly to leadership. I care about clarity, impact, and building systems people trust.I’m driving toward senior cloud and data engineering roles focused on real-time architectures, scalable pipelines, platform modernization, and cloud cost intelligence. I’m passionate about systems that are high performing and truly transformative.
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