𝑲𝒆𝒚 𝑹𝒆𝒔𝒑𝒐𝒏𝒔𝒊𝒃𝒊𝒍𝒊𝒕𝒊𝒆𝒔 - ✔ Leading Clinical Data Solutions and Delivery: Initially joined as Architect under Data Governance Team, later transitioning to Data Engineering Manager role at Optum Insight. Led up to 3 workstreams including clinical data solution & delivery, Snowflake Admin, and DQ implementation under data governance.✔ Driving Solutioning, Design, and Development: Driving the end-to-end solutioning, design, and development efforts for the ECDH- Optumcare clinical data platform. Collaborating closely with stakeholders, including Principal Engineer, PO, and cross-functional teams, to define robust data architectures, ensure scalability, and meet stringent regulatory requirements.✔ Collaborating with Stakeholders: Collaborating proactively with Principal Engineer, Product Owner (PO), and diverse stakeholders to define comprehensive data requirements, conduct thorough quality analyses, meticulously plan project deliverables, and effectively manage stakeholder expectations.✔ Leading Senior Data Engineers and Analysts: Leading and mentoring a high-performing team of senior data engineers and clinical data analysts. Providing strategic direction and technical guidance in the management and enhancement of critical domains such as "Observations-Results," "Allergy," "Vaccination," and "Procedures."✔ Parsing and Loading Data: Expertly parsing semi-structured CCD Json documents and overseeing the loading process into flattened and enriched layer Snowflake tables in FHIR format. Ensuring data integrity and optimizing performance through meticulous data management practices and innovative solutions.✔ Evaluating Platforms and Designing Solutions: Conducting comprehensive evaluations of existing platforms and actively contributing to the design and implementation of innovative data solutions.

𝑲𝒆𝒚 𝑹𝒆𝒔𝒑𝒐𝒏𝒔𝒊𝒃𝒊𝒍𝒊𝒕𝒊𝒆𝒔 - ✔ Set Up Spark/Scala Projects: Set up Spark/Scala projects with automated unit testing using the Mockito library, enhancing project reliability and developer productivity.✔ Explored Spark on Kubernetes Infrastructure: Explored the feasibility of running Spark on Kubernetes infrastructure, evaluating potential benefits and implications for future project scalability and performance.✔ Led Scrum Teams for System Onboarding: Led 3 scrum teams in onboarding source systems from capital and revenue funding, supporting application development using the data lake infrastructure.✔ Managed Onboarding of New Data Sources: Successfully onboarded 16 new data sources into the data lake, from presenting the value proposition to planning, estimation, scheduling, development, and final production deployments.✔ Coordinated Setup of Attunity as CDC Tool: Coordinated with multiple teams to set up Attunity as a Change Data Capture (CDC) tool, enabling incremental data flows into the data lake and supporting real-time data integration needs.

𝑲𝒆𝒚 𝑹𝒆𝒔𝒑𝒐𝒏𝒔𝒊𝒃𝒊𝒍𝒊𝒕𝒊𝒆𝒔 - ✔ Led a Team of 7 Data Engineers: Led a team of 7 data engineers in the modernization program, transitioning legacy ETL processes to Spark/Scala & Kafka-based frameworks.✔ Drafted Technical Architecture: Developed technical architecture for internal business areas, emphasizing efficiency, modularity, restartability, audit & controls, and storage management.✔ Conducted POC for KTable API: Conducted a proof of concept (POC) for KTable API to facilitate real-time joins across 3 separate Kafka Streams, successfully deploying the solution in production.✔ Owned Architecture and Coding: Owned the architecture and actively coded Scala components to support project requirements and ensure seamless integration.✔ Established Jenkins Pipelines: Established Jenkins pipelines with streamlined 1-click deployment, incorporating code style checks, build automation, and security scans (Sonar, Fortify/Twistlock), alongside Kubernetes (K8S) deployments.✔ Set Up Spark/Scala Projects: Set up Spark/Scala projects with automated unit testing using the Mockito library, enhancing project reliability and developer productivity.✔ Explored Spark on Kubernetes Infrastructure: Explored the feasibility of running Spark on Kubernetes infrastructure, evaluating potential benefits and implications for future project scalability and performance.✔ Led Scrum Teams for System Onboarding: Led 3 scrum teams in onboarding source systems from capital and revenue funding, supporting application development using the data lake infrastructure.✔ Managed Onboarding of New Data Sources: Successfully onboarded 16 new data sources into the data lake, from presenting the value proposition to planning, estimation, scheduling, development, and final production deployments.

𝑲𝒆𝒚 𝑹𝒆𝒔𝒑𝒐𝒏𝒔𝒊𝒃𝒊𝒍𝒊𝒕𝒊𝒆𝒔 - ✔ Led Development in Data Fabric Team: Led the development efforts as a key developer in the data fabric and data lake framework team, driving innovative solutions and ensuring alignment with business objectives.✔ Developed UTF-8 Conversion Functionality: Developed functionality for UTF-8 conversion in Hadoop Distributed File System (HDFS), optimizing storage and facilitating seamless data processing.✔ Created ORC Snapshot Storage Layer: Engineered ORC format snapshot storage layer configurations, enabling efficient, deduplicated storage in HBase and enhancing data retrieval performance.✔ Developed Address Standardization with IBM Quality Stage: Designed and implemented address standardization functionality using IBM Quality Stage, improving data consistency and accuracy across systems.✔ Designed and Implemented Splunk Dashboard: Created a comprehensive Splunk dashboard to visualize data latency and metrics related to data ingestion into the data lake, enhancing operational insights and decision-making. ✔ Coordinated Sampling and Analysis Tasks: Coordinated sampling and analysis tasks to validate the quality and integrity of finished products, ensuring adherence to established quality standards and compliance requirements.✔ Conducted User Story Demos and Scrum Ceremonies: Facilitated user story demos and participated in all Scrum ceremonies, promoting agile development practices and fostering collaboration within the team.✔ Designed Dollar Chain Views and ETL Framework: Designed and developed dollar chain views to reconcile and display paid claim amounts with various rules, optimizing financial reconciliation processes.✔ Managed End-to-End Technical Delivery: Managed end-to-end technical delivery of projects from initiation through the closing phase, ensuring timely and quality delivery aligned with project timelines and stakeholder expectations.

𝑲𝒆𝒚 𝑹𝒆𝒔𝒑𝒐𝒏𝒔𝒊𝒃𝒊𝒍𝒊𝒕𝒊𝒆𝒔 - ✔ Developed Ab Initio Graphs for Data Transfer: Developed Ab Initio graphs to transfer data from diverse sources including Oracle, flat files, and CSV files to Teradata databases and flat files, ensuring efficient and reliable data migration. ✔ Designed and Implemented Ab Initio Graphs: Designed and implemented Ab Initio graphs to extract data from DB2, Oracle, Teradata, flat files, and XML files, meeting client-specific requirements and enhancing data integration capabilities. ✔ Created Psets and User Defined Functions: Developed and deployed Psets and user-defined functions using Ab Initio Graphical Development Environment (GDE), optimizing data processing and improving system performance. ✔ Database Objects Creation and Management: Created database objects as per design specifications, ensuring data structure integrity and supporting efficient data storage and retrieval processes. ✔ Analyzed Business Requirements and Technical Specifications: Conducted thorough analysis of business requirements, defined development scope, and formulated detailed technical specification documents.✔ Implemented Ab-Initio Parallelism Techniques: Utilized various Ab-Initio parallelism techniques including Data, Pipeline, and Component parallelisms, optimizing data processing efficiency and throughput.