Anjan Prakash Karki

Own end-to-end product lifecycle for digital marketing data products, from discovery and roadmap definition through delivery, optimization, and ongoing maintenance, supporting large-scale consumer campaigns.

Serve as the primary bridge between marketing, product, and engineering, translating business strategy and campaign objectives into clear product requirements, prioritized backlogs, and actionable technical solutions.

Lead data discovery and requirements definition for complex marketing use cases, ensuring accurate, compliant, and redundancy-free datasets to enable personalized and timely member communications.

Directed the migration of UHC’s largest internal data warehouse from legacy Oracle platforms to Azure Cloud Data Lake, overseeing discovery, source mapping, ingestion strategy, cloud delivery, and post-migration validation.

Partner with multiple engineering teams to ingest, transform, publish, and validate data pipelines, ensuring high data quality, performance, and scalability across Azure-based platforms.

Drive cross-functional delivery using Agile and SAFe practices, facilitating PI planning, sprint execution, backlog refinement, and stakeholder alignment across product, marketing, and technology teams.

Establish data governance, validation, and quality checks post-ingestion, reducing downstream issues and improving trust in campaign analytics and reporting.

Enable data-driven decision-making by delivering reliable, cloud-based datasets that support campaign targeting, measurement, and optimization.

Lead stakeholder communication and dependency management to ensure on-time campaign delivery, balancing business urgency with technical feasibility and long-term platform health.

Leverage 14+ years of software engineering experience, including 9 years in healthcare, to make informed architectural decisions and guide teams toward scalable, secure, and compliant solutions.

• Leading a team of developers onshore and offshore all the while working closely with business on successful project delivery. Recently decommissioned old BDPaaS (Big Data Platform as a service) on premise, saving 1.5Million to UHC by re-designing new ETL process on Azure.
• Responsible for implementing data solutions around Azure Data Bricks/Delta Lake & Cloud Snowflake DB by replacing on-prem (Hive/SQL Server) data solutions.
• Designing and implement a fully operational data solution on Snowflake Data Warehouse.
• Acted as SME for health care data sets Institutional & Professional Claims, Pharmacy claims.
• Actively participated in Agile SDLC implementation which includes Sprint Planning, Backlog, Daily stand up & retrogressive actions.

• Implement data architectures to support a variety of data formats and structures including structured, semi structured, and unstructured data for data platforms running: T-SQL, Python and PySpark.
• Build and maintain robust data pipelines that automate the flow of data from various sources to destinations where it can be analyzed.
• Collaborated with data analysts and healthcare professionals to understand their data needs. Developed and deployed dashboards, reports that provide insights into patient care.
• Design data engineering ecosystem to build systems that meet business needs.
• Create a risk prediction model that helps employers access and analyze insurance and Electronic Health Record (EHR) data to minimize financial and health risks.

• Migrated decade old legacy applications written in .NET from on-premises to Azure cloud on VMware Tanzu (PCF) platform and Azure Kubernetes Services.
• Developed application monitoring and alerting solutions on Azure monitoring and Dynatrace for applications hosted on Tanzu (PCF) and Kubernetes.
• Designed syllabus and conducted a 10- class series about Azure Kubernetes and its resources for new developers.
• Introduced automated deployment and management for applications hosted on-premises.

• Developed Inventory management system for the Department of Research and Innovation to keep track of all their research equipment.
• Conducted classes on Object Oriented Programming and Database for Undergraduate students.
• Maintained university student database for the Department of Research and Innovation.

• Build and maintain robust data pipelines that automate the flow of data from various sources to destinations where it can be analyzed.
• Collaborated with data analysts and healthcare professionals to understand their data needs. Developed and deployed dashboards, reports that provide insights into patient care.
• Created a risk prediction model that helps employers access and analyze financial and medical data which helps to minimize financial and health risks for employees.
• Data profiling and Data scrubbing and create source to target mappings. Supported data on both MSSQL(T-SQL) and Oracle (PLSQL) platforms.
• Investigated and resolved data issues and discrepancies in financial reconciliations.

• Design and implement process for collecting data from various health care providers such as Electronic Health records, claims files in various formats (csv, pdf, txt, xlsa, xlsb), database dumps etc. and centralized them in SQL server
• Develop and apply algorithms to clean and preprocess data, ensuring its quality and consistency. This involved handling missing values, removing duplicates, standardizing data formats, and resolving inaccuracies to prepare data for analysis.
• Design, implement, and maintain databases and data storage solutions that are efficient, secure, and scalable.
• Analyzed using ETL pipeline (Extract, transform and load) for knowledge discovery and pattern finding to design optimal stored procedures and queries to manage healthcare financial data.