Pramodhsurya Jeyanthi Ravisankaran

With over 8 years of experience building large-scale distributed data systems, I am an accomplished Data Engineer adept at architecting and implementing robust data pipelines to enable advanced analytics.

Leadership:

• Spearheaded migration of massive data pipelines to AWS, delivering 30% cost reductions
• Led full redesign and development of real-time data pipeline from start to finish, reducing processing time by 40% and driving $5M in annual cost savings
• Championed organizational adoption of data-driven decision making
• Conducted training and mentoring to expand junior data engineers' skills in constructing scalable pipelines
• Designed Python frameworks for pipeline testing and data quality monitoring
• Directed testing automation and CI/CD implementation for rapid delivery of pipeline changes
• Drove creation of new scalable data pipeline model to enable AI/ML use cases and boost revenue
• Coordinated with cross-functional teams to deliver data-driven solutions
• Led proof of concept projects to demonstrate potential of new technologies

Core Competencies:

• Designing and developing big data solutions leveraging latest technologies like Hadoop, Spark, Kafka, Hive, AWS
• Constructing and optimizing large-scale data pipelines, warehouses, and data lakes
• Developing strategies for data modeling, ETL, metadata to power business intelligence
• Implementing robust security, access control, encryption for scalable data pipelines
• Ensuring optimal performance of high volume pipelines through monitoring and improvement
• Collaborating with stakeholders and mentoring junior data engineers
• Diligent focus on improving profit margins while upholding robust work ethics and quality standards
• Skilled at developing, coordinating, delegating and planning work activities strategically
• Rapid learner with broad experience, highly motivated, and able to thrive in structured as well as ambiguous environments