Sukumar Reddy Kottala
Professional Summary
Agile Product Owner and Business Systems Analyst with 5 years of experience driving data products and extract pipelines for healthcare payers and banking. Specialize in backlog ownership, epics, user stories, acceptance criteria, and roadmap definition for cross-functional delivery teams. Hands-on with SQL and Databricks to validate data quality and certify extracts across billions of member, enrollment, and claims records. Use Python and Selenium to automate dataset retrieval and Tableau and Excel to deliver dashboards that inform operational and research decisions. Led migration of on-premises SQL Server data to Databricks and defined KPIs and UAT processes to ensure quality and adoption. Partner with engineering, analytics, and business stakeholders to translate priorities into measurable outcomes and monitor post-release value. Experienced in root-cause analysis, data validation, and presenting technical metrics to senior leaders to influence product funding and strategy.
Technical Skills
Work Experience
- Shaped product vision and roadmap for large-scale healthcare data extract products used to enable HEDIS and STARS quality measurement and gap-closure workflows.
- Partnered with data engineering and analytics teams to translate business objectives into prioritized epics, features, user stories, and Jira backlog items with clear acceptance criteria.
- Led migration of on-premises SQL Server data to Databricks, validating ETL continuity and preserving data integrity during cutover activities.
- Executed SQL-based validation across billions of member, enrollment, and claims records to certify extract accuracy and provided formal UAT sign-off.
- Defined and tracked KPIs for extract adoption and data quality to prioritize roadmap decisions and identify improvement opportunities for operational teams.
- Facilitated stakeholder alignment by communicating technical tradeoffs, progress, and blockers to senior leadership, enabling timely decisions and funding approvals.
- Diagnosed data defects through root-cause analysis and coordinated remediation with source data owners to reduce downstream reporting errors.
- Automated dataset retrieval and update procedures using Python and Selenium to remove manual data-loading steps and improve repeatability.
- Validated data integrity across modules by building SQL reconciliation scripts and end-to-end checks for enrollment datasets.
- Built interactive Tableau dashboards and stories that surfaced enrollment trends and supported operational decision-making.
- Analyzed enrollment profiles and recommended process improvements to streamline profile management and controls.
- Documented ETL procedures and created runbooks to improve handoffs between analysts and ensure consistent data updates.
- Resolved moderate-to-complex data errors from automated updates and implemented preventative validation logic.
- Developed and supported approximately 10 IoT lab projects, authoring code samples and lab materials for hands-on coursework.
- Created dashboards using SQL, Excel, and Tableau to monitor KPIs and present research findings to faculty and students.
- Diagnosed and resolved automated file update errors, implementing validation checks to reduce manual interventions.
- Configured IoT lab environments and standardized lab setups to ensure repeatable experiments and simpler student onboarding.
- Authored technical documentation and step-by-step guides to streamline student onboarding and lab usage.
- Validated dataset completeness and corrected anomalies using SQL-driven checks to prepare data for analysis.
- Defined product vision and roadmap for retail banking software, aligning feature priorities with regulatory and market requirements.
- Owned and prioritized the product backlog, translating business requirements into epics, features, and user stories for engineering teams.
- Mapped user personas and customer journeys to inform UX decisions and acceptance criteria for product releases.
- Analyzed transaction data using SQL and Tableau to prioritize features and customer segments, contributing to a 15% increase in transaction volume.
- Conducted product demonstrations and stakeholder trainings to accelerate adoption and gather iterative feedback.
- Partnered with engineering teams to clarify requirements and acceptance criteria, reducing rework during sprints.
Education
Certifications
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