Sharath Reddy
Data Engineer @Credit Suisse
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WORK HISTORY
Data Engineer @Credit Suisse
US
Design and implement end-to-end data pipelines to process 50TB+ of financial transactions, market feeds, and risk analytics data, enabling real-time fraud detection, credit risk assessment, and regulatory reporting.• Led the development of ETL processes, ingesting 5M+ daily transactions from diverse financial institutions, reducing data latency and optimizing operational efficiency across engagements. • Engineered high-performance data processing workflows using Apache Spark, Hadoop, and Snowflake, reducing data processing time by 40%. Deployed data solutions across AWS Redshift, Azure Data Lake, and GCP BigQuery to support scalable financial analytics. • Built real-time and batch ETL pipelines leveraging Apache NiFi, Kafka, Talend, Airflow, and DBT, facilitating the seamless integration of high-velocity financial transactions across trading platforms and banking systems. • Utilized Python, Scala, SQL, and R for financial modeling, data wrangling, and ML workflows, improving credit risk prediction accuracy by 30%, supporting advanced fraud detection and algorithmic trading strategies. • Optimize SQL Server, PostgreSQL, MongoDB, HBase, and Cassandra, enhancing query performance by 35%, ensuring low-latency access to financial records while maintaining ACID compliance for transactional consistency. • Implement enterprise-grade security standards including role-based access control (RBAC), encryption protocols, and secure API integrations using Azure Key Vault, AWS IAM, and OAuth 2.0, ensuring 100% adherence to PCI-DSS, GDPR, and SOX compliance. • Collaborate with data scientists, risk analysts, and financial stakeholders to deploy AI-powered financial applications, such as fraud detection, anti-money laundering (AML) systems, and risk-adjusted investment strategies, reducing fraudulent transactions by 20%.• Develop and deploy 45+ Power BI and Tableau dashboards, providing real-time visibility into portfolio performance, credit risk exposure.
EDUCATION
Lindsey Wilson College
Master's degree
Osmania University
Bachelor's degree
ABOUT SHARATH REDDY
3+ years of experience as a Data Engineer with a strong focus on developing and enhancing data systems using SDLC, Agile, and Waterfall methodologies. Proficient in R, Python, and SQL for advanced data manipulation, analysis, and modeling. Demonstrated expertise in optimizing big data processing workflows with Hadoop, MapReduce, Hive, Apache Spark, and Pig. Skilled in managing ETL operations with Apache NiFi, Kafka, and Airflow, and automating deployment processes using Docker, Kubernetes, and Jenkins. Adept with cloud technologies including AWS, Azure, and GCP, and experienced with various databases such as MySQL, MS-SQL Server, HBase, Cassandra, DynamoDB, MongoDB, and PostgreSQL.
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