Open to opportunities

Ashitha U

@ashithau

Message

Big Data Engineer specializing in scalable ETL and real-time pipelines.

United States

Message

What I'm looking for

I am seeking roles building scalable, secure data platforms and real-time pipelines in collaborative, cloud-first teams where I can drive data-driven solutions and improve operational efficiency.

I am a Big Data Engineer with over five years of experience designing and implementing scalable ETL pipelines, real-time streaming solutions, and data warehousing using Apache Spark, Scala, PySpark, Hive, and Java across cloud platforms like AWS and Azure.

I have delivered end-to-end data solutions—building Spring Boot APIs, Kafka-based ingestion pipelines, NiFi/Minifi flows, and automated Oozie workflows—while optimizing performance and integrating BI tools like Tableau and Power BI to drive actionable insights.

I prioritize secure, production-ready architectures and operational efficiency, having implemented processes that reduced customer response time by 30% and contributed to projects involving HDFS, Solr, HBase, Redshift, Glue, EMR, and containerized deployments.

Experience

Work history, roles, and key accomplishments

Current

Big Data Engineer

Current

SABIC

Jan 2024 - Present (2 years)

Implemented end-to-end big data pipelines for image recognition, lab file ingestion, and knowledge search, integrating Kafka, Spark, HBase, Solr and Azure storage to enable reliable ingestion and retrieval of large datasets.

Apache Spark Kafka HBase Solr Apache NiFi Spring Boot Java Oozie

Big Data Engineer

TCS

Jun 2018 - Dec 2021 (3 years 6 months)

Built scalable batch and real-time ETL pipelines processing ~300 TB using Spark, PySpark, Sqoop and Oozie; integrated data sources into HDFS and Redshift and connected BI tools for analytics.