ASLESHA REDDY BYREDDY

🔄 Built scalable real-time and batch pipelines with Kafka, Spark, and AWS Glue for processing critical financial datasets
🧠 Developed Spark-based ETL workflows in Python, enhancing fraud detection & customer insights
📉 Reduced ETL latency by 35% via optimized deployment on AWS (S3, Athena, Redshift)
🧪 Integrated Databricks and Snowflake for downstream ML & analytics workflows
🛡️ Led implementation of data lineage, classification, and automated quality checks
⚙️ Automated deployment using CI/CD pipelines (Jenkins, GitHub) & IaC tools
💰 Improved infrastructure performance by 40% through distributed computing on AWS EMR
📏 Partnered with finance teams to enforce privacy & compliance standards across datasets

🧩 Built end-to-end ETL/ELT pipelines with PySpark, Ab Initio, and Teradata, improving reliability by 25%
☁️ Migrated data to AWS cloud (S3, Glue, Athena) for real-time analytics
🗄️ Designed modern data warehouses to support analytical workloads
🔁 Streamlined deployments via CI/CD integration with Jenkins and Git
🧬 Implemented MDM and data quality frameworks, enabling trusted reporting via Tableau and Qlik
📈 Contributed to ML pipeline orchestration using Databricks and MLFlow
🛠️ Optimized SQL & Python scripts, reducing job runtimes by up to 30%
📃 Participated in agile sprints and documentation aligned with SDLC