Hritvik Kumar

• Designed an AI-powered KPI observability framework to detect anomalies and data reliability issues across analytics platforms.
• Integrated KPI trends, pipeline metadata, and data quality signals into a unified intelligence model.
• Designed KPI health scoring and correlation analysis between pipeline failures and KPI drops.
• Enabled proactive alerting and reduced manual root cause investigation.
• Initiated Agentic AI POC for automated root cause analysis.

System: Former VM GCP Native

• Served as the primary bridge between business stakeholders (VMO2), solution architects, and product owners, translating business requirements into scalable technical solutions through detailed impact assessments, solution design documentation, and effort/cost estimations.
• Designed and developed scalable, enterprise-grade data pipelines using Python and dbt, enabling automated data transformation across staging, intermediate, and data mart layers within BigQuery-based lakehouse architecture.
• Established robust CI/CD frameworks using GitLab for dbt deployment, version control, and release management, ensuring reliable integration, controlled rollbacks, and standardized analytics engineering practices.
• Architected and implemented metadata-driven orchestration using Cloud Run services and YAML-based configurations to dynamically trigger dbt workflows, significantly reducing manual intervention and improving operational efficiency.
• Integrated Dataplex with BigQuery to implement automated data quality and governance frameworks, leveraging custom labels and rule-based validation to enhance data trust and reporting reliability.
• Developed Python-based ingestion frameworks for REST APIs (e.g., ServiceNow), incorporating structured logging, retry mechanisms, and error handling to ensure resilient and observable data ingestion into GCS and BigQuery.
• Led work planning and delivery governance, including prioritization and distribution of Jira tickets across functional and engineering teams, ensuring alignment between business priorities and technical execution.
• Collaborated with the Cloud Center of Excellence (COE) to ensure solutions adhered to GCP architecture best practices, security standards, and cloud-native design principles.
• Owned resource planning, budget tracking, and delivery governance, including capacity management and proactive risk mitigation, ensuring projects were delivered on time and within budget.
• Drove cross-functional stakeholder engagement and technical leadership across multi-disciplinary teams, contributing to strategic decision-making and continuous evolution of the enterprise data platform.

System: Smart Cities Analytics, Smart Metering Program, Arcanum Data Platform

• Service delivery lead (AO) to major analytics projects Smart Cities & Smart metering.
• My role is to collaborate closely with Clients & Business stakeholders, providing them solutions on new user stories, enhancements and mitigate issues related to data quality.
• Interpreting and analyzing the data to drive conclusion for cross border Analytics team of UK.
• Worked on creating Real time dashboards for Transit & Traffic Monitoring, Network performance, User & Subscriber profiling using Power BI.
• Worked on migration from Vitria to Cloud (MS Azure).
• Worked on end-to-end automation of the process for alerting and monitoring.

Tools, Technologies & Domains: Analytics, Power BI, Python, MS Azure, Neo4j, Unix Shell Scripting & SQL.

System: Messaging Over Wi-Fi, SMSC Replacement, IT Obsolescence.

Roles

• Responsible for functional and non-functional requirement gathering.
• Responsible for Impact Analysis of new requirements to make more accurate informed decision about change requests.
• Worked as a senior developer to build and install solution considering design specifications, standards, and programming.
• Responsible for operational feasibility by coordinating with the Ops Team, analyzing their requirements, and proposing solutions.

Tools, Technologies & Domains: Python, Perl Scripting, SQL.

Client : Humana, USA

System : Healthcare

Roles

• Participated in all stages of Waterfall Methodology

Involved in defining and documenting the business requirements, and reporting to stakeholders.

• Worked on enhancement activities of existing and development of new functionalities as per requirements.

• Providing fixes for the errors in the daily, weekly, and monthly batch jobs.

• Managing monthly and quarterly releases.

• Automation jobs, scripts and processes for various activities.

Tools, Technologies & Domains: - COBOL, JCL, VSAM, DB2, Easytrieve, Python, SQL.