Sakshith Reddy P
Software Engineer @JPMorganChase
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WORK HISTORY
Software Engineer @JPMorganChase
Dallas, TX, US
At JP Morgan Chase, working on scalable AWS data lakes and real-time streaming pipelines supporting trading, risk, and fraud analytics across capital markets platforms. Ensured strong data governance and regulatory compliance, optimized ETL frameworks, automated CI/CD processes, and delivered low-latency, ML-ready datasets for risk modeling and fraud detection initiatives while contributing to cloud modernization and mentoring engineering teams.
EDUCATION
Lindsey Wilson University
Master's degree, Computer and Information Systems Security/Information Assurance
ABOUT SAKSHITH REDDY P
Data Engineer with 7+ years of experience designing scalable ETL/ELT pipelines and enterprise data architectures.Expert in Python, PySpark, SQL, and distributed processing with Apache Spark and Hadoop ecosystems.Skilled in building cloud-based data lakes and warehouses on AWS and Azure, optimizing performance and cost.Experienced in real-time streaming using Kafka and Spark Structured Streaming for mission-critical applications. Proficient in dimensional modeling, data quality frameworks, and governance, ensuring reliable and secure data pipelines.Proven track record of improving pipeline efficiency, reducing failures, and enabling data-driven business decisions. Strong collaborator with cross-functional teams, translating business requirements into robust data solutions.Hands-on experience with Lakehouse architecture, Delta Lake, and Databricks, enabling ACID transactions, schema enforcement, and scalable analytics.Strong experience in performance tuning, partitioning strategies, query optimization, and cost governance across large-scale cloud data platforms.Extensive experience with CI/CD pipelines and DevOps practices, leveraging tools like Azure DevOps and AWS CodePipeline to automate deployments and ensure reliable data delivery.Proficient in workflow orchestration and scheduling using tools such as Apache Airflow and Azure Data Factory, ensuring efficient pipeline management and monitoring.Strong expertise in data security, access control, and compliance implementation across cloud platforms, including IAM policies, encryption strategies, and secure data sharing mechanisms.
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