Jithender Reddy

Background

About Jithender Reddy

As a Senior Data Engineer with over a decade of experience, I specialize in designing and delivering scalable data solutions across cloud platforms including GCP, AWS, and Azure. My expertise lies in architecting real-time and batch data pipelines using tools like Apache Spark, PySpark, Apache Beam, Kafka, and Databricks—enabling advanced analytics and machine learning at scale. I’ve led cloud migration projects, implemented robust ETL/ELT frameworks, and optimized large-scale data processing using technologies like BigQuery, Snowflake, Amazon Redshift, and Azure Synapse. I’m also skilled in automating infrastructure with Terraform, orchestrating workflows using Airflow and Cloud Composer, and securing pipelines with strong governance and monitoring practices. From building Medallion architectures to deploying AI/ML models with TensorFlow and scikit-learn, I bring a holistic approach to data engineering that bridges business needs with technical execution. I thrive in Agile environments, collaborating with cross-functional teams to deliver high-impact, data-driven solutions. Always curious and driven by innovation, I’m passionate about transforming raw data into actionable insights that power decision-making and drive growth.