I am Balasubramanian Swaminathan, a Data Engineering Specialist and Project Management Professional with over 10 years of experience in Actuarial and Risk Management. With a proven track record in data engineering, cloud technologies, and team leadership, I excel in designing scalable, efficient, and innovative data pipelines and systems. My expertise spans Azure Data Engineering, Databricks, Informatica Suite, and machine learning, enabling me to deliver robust data solutions for complex business challenges.
I am passionate about leveraging advanced technologies to optimize processes, enhance data-driven decision-making, and lead cross-functional teams in achieving impactful results.
- Data Engineering Leadership: Proficient in designing, implementing, and optimizing data pipelines using Databricks, Azure Data Engineering, MS SQL Server, and the Informatica Suite for large-scale data processing and analytics.
- Actuarial and Risk Management: Over a decade of expertise in building data-driven solutions for actuarial models, risk projections, and valuation frameworks using advanced technologies like Snowflake, Azure Synapse, and Python.
- Agile Project Management: Certified SAFe Scrum Master with proven ability to deliver complex projects by managing cross-regional teams and aligning business goals with technical execution.
- Cloud and Big Data Technologies: Hands-on experience in Azure Data Factory, Snowflake, AWS Glue, and Redshift for developing scalable and secure data ecosystems.
- Stakeholder Management: Skilled in bridging technical and non-technical teams, ensuring clarity in business requirements, and delivering robust solutions under tight deadlines.
- Azure Data Engineer Associate (Microsoft Certified)
- AWS Cloud Practitioner & Machine Learning Specialty
- PMP (Project Management Professional)
- SAFe 5 Scrum Master / Certified ScrumMaster (CSM)
- C++, Python, C#, VB.NET
- Databricks, Azure (Data Factory, Synapse Analytics, Databricks), AWS Glue, Redshift, Snowflake
- SQL Server, SSIS, Informatica PowerCenter
- Neural Networks, Clustering, Feature Engineering
- FIS Prophet, Kamakura Risk Manager, Poly Life Master
- Spearheaded Asset Data Repository and Group Benefits Valuation projects, modernizing legacy systems and implementing cloud-native solutions for efficient data management.
- Migrated actuarial models from Kamakura Risk Manager to FIS Prophet, reducing processing times and increasing accuracy.
- Optimized ETL workflows, ensuring data consistency and performance for actuarial projections and risk calculations.
- Delivered end-to-end ETL solutions for Medicaid claims processing, leveraging SQL Server and SSIS for large-scale healthcare data systems.
- Led teams in optimizing database performance and automating manual processes.
- Developed predictive models using neural networks for the cement industry, introducing innovative machine learning techniques into traditional manufacturing processes.
- Role: Senior Scrum Lead, Product Owner
- Managed USGAAP/LDTI projects for the APAC Region, collaborating with actuarial business teams in Japan, Korea, and Malaysia.
- Designed and deployed scalable data pipelines using Databricks, Azure Data Engineering, and Informatica for actuarial data processing and analytics.
- Enhanced compliance with USGAAP/LDTI standards, aligning solutions with global business requirements.
- Role: Project Manager, Data Engineer
- Migrated legacy systems to cloud-based architectures, improving performance and scalability.
- Role: Scrum Master, Actuarial Data Engineer
- Built data pipelines for reserve processing and optimized workflows for compliance and scalability.
- Role: ETL Tech Lead
- Built robust interfaces for Medicaid claims processing, ensuring compliance with state regulations.
- Role: Senior System Analyst
- Developed predictive models for cement industry processes using neural networks and surrogate modeling techniques.
- Cross-Regional Leadership: Successfully managed multi-country actuarial projects, ensuring seamless integration and delivery.
- Scalable Data Systems: Built and deployed pipelines that processed terabytes of data daily, improving system reliability and reducing costs by over 30%.
- Award-Winning Delivery: Recognized for outstanding project delivery, achieving key milestones under challenging deadlines.
- Innovation in Data Engineering: Introduced automation tools for data governance and error handling, reducing manual intervention by 40%.
- Email: sbala2me@gmail.com
- GitHub: [https://github.com/sbala2me]
- LinkedIn: [https://www.linkedin.com/in/sbala2me/]