Snigda M Kakarla
***************@*****.*** UNITED STATES
PROFESSIONAL SUMMARY
Data Analyst with 12+ years of experience delivering data-driven solutions for large-scale organizations. Core expertise includes advanced PL/SQL development, Oracle Exadata and Oracle 10g database management, and building end-to-end data integration pipelines. Skilled in designing and optimizing ETL workflows, developing complex stored procedures, and implementing data lineage tracking for compliance and financial services environments. Proficient in business and data analysis using Microsoft Excel, Tableau, and PowerPoint to deliver actionable insights. Strong background in testing and quality assurance for data validation and interface integration, as well as working within Agile teams for sprint planning and resource management. Recognized for analytical thinking, attention to detail, and the ability to communicate technical concepts effectively to diverse audiences. Experienced in supporting client onboarding, KYC processes, and compliance reporting, driving improved data quality and operational efficiency across enterprise systems.
EDUCATION
MS in Data Science, Data Science
Lewis University
Masters in Engineering, Engineering
Karunya University, Coimbatore
B.Tech in Electronics and communication, Electronics and communication
Bijju Patnaik University
TECHNICAL SKILLS
Databases: Oracle Exadata, Oracle 10g, PL/SQL, SQL
Agile & Project Tools: Agile (Scrum), Sprint Planning Tools, Resource Assignment Tools, Effort Estimation Tools
Analytics & Reporting: Tableau, Microsoft Excel, Microsoft PowerPoint, Ad-Hoc Analysis (Excel/PLSQL)
Data Integration & ETL: ETL Pipelines (Oracle-based), Data Marts (Oracle), Data Lineage Tracking (Oracle), Stored Procedures (PL/SQL)
Testing & Quality Assurance: Test Scenario Design, Data Validation (SQL/ETL), Interface Integration Testing
Compliance & Financial Services Tools: Wholesale Credit Products Systems, Client Onboarding/KYC Platforms, Compliance Reporting Platforms
WORK EXPERIENCE
Cleveland Clinic Foundation, Data Analyst Feb 2025 - Present
●Developed complex PL/SQL queries and stored procedures in Oracle to extract and transform patient and provider data, supporting analytics and compliance needs for clinical quality initiatives.
●Built and maintained ETL pipelines that ingested electronic health records and claims data into analytics-ready data marts using Oracle Exadata and PL/SQL, ensuring data quality and integrity.
●Created and validated business rules in SQL to measure healthcare outcomes, reconciling logic with payer specifications for accurate quality reporting under value-based care programs.
●Designed Tableau dashboards and Microsoft Excel reports to present provider performance and care utilization trends, making insights easily accessible for clinical and operational teams.
●Used Microsoft Office tools to document requirements, track progress, and prepare executive summaries for both technical and non-technical audiences, ensuring clear communication across departments.
●Tested data integration workflows and validated outputs against business requirements, identifying issues early and contributing to robust, well-tested interfaces between systems.
●Gathered and refined requirements for new analytics features by working closely with population health teams, translating clinical needs into actionable data solutions.
●Participated in Agile sprint planning and estimation sessions, helping prioritize data engineering tasks and contributing to resource planning for analytics projects.
●Provided ad-hoc analysis using PL/SQL and Excel to support provider engagement teams, breaking down complex data into actionable insights for performance improvement initiatives.
●Supported system audits by documenting data lineage and maintaining audit trails in Oracle environments, enabling transparency and traceability for clinical data submissions.
Abridge, Data Engineer Jun 2024 - Jan 2025
●Developed PL/SQL scripts and stored procedures in Oracle 10g to support wholesale credit data analysis, enabling accurate client onboarding and KYC checks for financial services applications.
●Designed and executed test scenarios for client onboarding workflows, ensuring robust interface integration and compliance with regulatory requirements using Oracle Exadata environments.
●Created and maintained Microsoft Excel models and PowerPoint presentations to communicate technical findings to business stakeholders, translating data trends into actionable recommendations for process improvement.
●Built custom query solutions to analyze and reconcile large credit product datasets, supporting end-to-end client onboarding processes while maintaining high attention to detail and data integrity.
●Participated in Agile sprint planning by estimating effort and prioritizing data analysis tasks, helping the team deliver key onboarding and KYC enhancements on schedule.
●Developed documentation for data analysis requirements and testing protocols, making it easier for both technical teams and business users to understand system changes and impacts.
●Worked with cross-functional teams to identify gaps in onboarding processes, applying analytical thinking to propose innovative solutions for improved operational efficiency and customer experience.
●Used PL/SQL to investigate and resolve complex data issues, ensuring accuracy in onboarding records and reducing manual intervention for compliance reporting.
●Supported multiple onboarding projects simultaneously by managing priorities and resource assignments, contributing to smooth project delivery with minimal supervision.
●Provided clear explanations of technical solutions to both technical and non-technical audiences, adapting communication style to suit stakeholders ranging from IT teams to executive leadership.
Cigna healthcare, Data Engineer Oct 2021 - Dec 2023
●Designed and delivered production-grade ETL/ELT pipelines that ingest, transform, and publish enterprise healthcare data to cloud platforms, partnering with technical leadership to align to business requirements
●Built and optimized data products on Databricks (PySpark/SQL) and Snowflake, supporting analytics and ML use cases across Cigna Healthcare/Evernorth lines of business
●Modeled source-to-target datasets and implemented performant code for large-scale extractions and transformations, improving reliability and run times for downstream consumers
●Established data quality controls and validation routines with automated testing and monitoring, raising trust in KPIs used by clinical, network, and operations teams
●Worked cross-functionally with Customer Service, Client Service, Provider Service, and Workforce Planning to translate operational needs into governed data assets and dashboards
●Implemented DevOps/DataOps practices—version control, CI/CD, and environment promotion for data code and jobs, reducing release risk and recovery time
●Deployed and supported pipelines on AWS services alongside Databricks/Spark, including build/release automation and operational runbooks for on-call rotations
●Collaborated with product, analytics, and engineering stakeholders to define platform standards (storage formats, processing frameworks) and document designs for enterprise reuse
●Monitored pipeline health and cost/performance metrics, troubleshooting incidents end-to-end and driving post-incident improvements in code, orchestration, and data contracts
●Mentored peers on Spark/SQL best practices and modern lakehouse patterns, contributing templates and guides that accelerated delivery across the Data & Analytics Engineering organization
PROJECTS
Andhra Pradesh State Fibernet Ltd Feb 2016 - Aug 2021
Ensure compliance with regulatory standards and quality assurance throughout the project lifecycle.
Oversee end-to-end execution of work orders in coordination with enterprise vendors and implementing agencies.
Collaborate with cross-functional teams to verify progress for timely payment releases and developed dashboards for real-time operational monitoring using Power BI
Drive development initiatives aligned with market trends and emerging technologies.
Conduct market research to identify new business opportunities.
Directed AI-based data validation, cleansing, and forecasting for broadband expansion projects.
Build strong partnerships with framework suppliers, middleware providers, and end-users.
Create strategic product development roadmaps and present design proposals and recommendations for strategic implementation planning of Fibernet offerings.
Coordinate and oversee the testing-to-launch process in collaboration with OTT content owners, technical teams, and marketing
EPM Technologies Feb 2013 - Jan 2016
Strategic direction for center excellence, enhancing operational efficiency.
Implemented risk mitigation, improving business operations through proactive procedures.
Directed team tasks, achieving company goals with collaborative strategies.
Organized training projects, facilitating job placements for underprivileged students.
Managed finances and infrastructure, ensuring effective budgeting and expenditure control.
Pioneered new project management techniques, streamlining work flows and enhancing team productivity. Introduced cutting-edge tools that reduced project timelines significantly.
AI-Powered IVF Success Prediction Model
Currently, developing a machine learning pipeline leveraging Th17 and Treg immune cell ratios, along with patient demographics and clinical parameters, to differentiate between recurrent pregnancy loss (RPL), recurrent implantation failure (RIF), and normal pregnancies
Acoustic Doppler Current Profiler Data Analytics Using a Hybrid of Machine Learning Methods
Deployed CNN model for predict ADCP data and analyze accuracy compared to conventional prediction methods
DOI: 10.1109/EICEEAI60672.2023.10590398 - Publisher: IEEE
CERTIFICATIONS
PMP (Project Management Institute), Professional Scrum Master I & II (Scrum.org), Post-Crisis Leadership (University of South Florida, MUMA College of Business)