Manikanth Sarisa is a seasoned Data Systems Engineer with over a decade of experience in designing, developing, and implementing data warehousing and integration solutions across industries such as finance, telecommunications, and healthcare. Known for his expertise in regulatory reporting and data management, Manikanth has a proven track record of leading complex data integration efforts, ensuring high-quality data standards, and optimizing performance in high-pressure environments.
Career Overview
Currently serving as a Principal Data Systems Engineer at Ally Financial in Charlotte, NC, Manikanth leads a team responsible for developing and supporting ETL/ELT solutions. His work is instrumental in producing daily, weekly, monthly, and quarterly regulatory reports, including FFIEC 031/009 and FRY 9C. Notably, Manikanth played a pivotal role in upgrading Ally Financial’s Liquidity 2052a reports from 5G to 6G, ensuring seamless data setups and client-specific configurations.
Before joining Ally Financial, Manikanth made significant contributions at Barclays and Bank of America. At Barclays, he supported internal balance sheet reports and migrated Axiom SL Controller View reports, optimizing production deployment. At Bank of America, he led data integration efforts for various regulatory reports, leveraging advanced tools such as AWS, Python, and Informatica PowerCenter.
Expertise in Data Systems Engineering and Regulatory Reporting
Manikanth’s career is marked by his technical expertise in data systems engineering, particularly in the field of regulatory reporting. He has mastered tools such as Axiom SL Controller View, AWS, Informatica PowerCenter, Tableau, and Hadoop, all of which are crucial for optimizing data workflows and ensuring compliance with regulatory standards.
His deep understanding of data integration and transformation has made him a trusted leader in building scalable data systems that meet stringent regulatory requirements. With multiple certifications, including AWS Cloud Practitioner and AWS Solutions Architect Associate, Manikanth continues to stay ahead of the curve in cloud-based data engineering.
Research Interests: AI, ML, and Data Engineering
Beyond his work in regulatory reporting, Manikanth has a keen interest in Artificial Intelligence (AI), Machine Learning (ML), and Data Engineering. He actively explores how AI and ML can optimize data workflows and improve decision-making processes. His forward-thinking approach to data engineering ensures that he stays at the forefront of emerging technologies, incorporating AI and ML into his work to drive intelligent solutions that enhance scalability and efficiency.
Educational Background
Manikanth holds a Master’s in Information Systems from the University of Maryland, Baltimore County, and a Bachelor of Technology in Computer Science from GITAM University, India. These academic credentials laid a solid foundation for his technical career, enabling him to excel in the ever-evolving data engineering landscape.
Currently, Manikanth is pursuing an Executive MBA at the University of North Carolina at Chapel Hill, expected to graduate in Fall 2025. This advanced business education complements his technical expertise, preparing him for leadership roles that require both strategic vision and technical mastery.
Early Career and Professional Growth
Manikanth’s career began at Tata Consultancy Services, where he honed his skills in developing and deploying data solutions for enterprise clients. Over the years, he expanded his knowledge of emerging technologies, including DevOps, cloud computing, and big data platforms, positioning himself as a versatile and forward-thinking engineer.
Why Manikanth Sarisa is a Trusted Leader in Data Engineering
- Expertise in Regulatory Reporting: Manikanth has led high-impact projects related to regulatory reporting, making him a trusted expert in compliance and data governance.
- Advanced Technical Skills: With proficiency in tools like AWS, Python, Informatica, and Tableau, Manikanth is skilled at optimizing data pipelines and ensuring seamless integrations.
- Innovative Approach to AI & ML: Manikanth is passionate about integrating AI and ML technologies into data systems, improving efficiency and decision-making.
- Strong Educational Foundation: His Master’s degree and ongoing Executive MBA equip him with both technical and strategic expertise.
- Proven Leadership: Manikanth’s ability to lead cross-functional teams and drive successful data projects positions him as a key contributor to the success of any organization.