Sujan Poojari

Data Analyst @Hewlett Packard Enterprise

Glasgow, GB

Optimized SQL-based transformation layers with window functions, CTEs, and materialized views to reduce aggregation query time by 62%, powering real-time dashboard refreshes and ad hoc stakeholder queries- Built and managed a distributed data pipeline on Azure with Kafka, PySpark, and SQL to process 40M+ asset and financial records daily, enabling real-time ingestion, streaming transformations, and low-latency analytics for compliance- Automated monthly financial reconciliation workflows using Python (openpyxl, xlsxwriter), VBA macros, and Power Automate, reducing manual errors and improving turnaround time by 44% across internal audit cycles- Built scalable Power BI dashboards with custom DAX measures, row-level security, and KPI alerts to track financial returns, early termination charges, and contract renewals, contributing directly to a £19.22M YoY profit increase- Developed end-to-end ETL workflows using Databricks, automating data extraction from SAP BusinessObjects (BoE) and Microsoft Dynamics 365, applying cleansing, deduplication, and validation routines to improve accuracy by ~99.6%- Collaborated with Agile teams across EMEA, North America, and APAC using JIRA and Confluence to triage data issues, run RCA sessions, and deploy incremental pipeline changes with CI/CD via Azure DevOps- Created internal documentation and data dictionaries for all active pipelines, reducing onboarding time and promoting data governance standards aligned with GDPR and internal audit compliance

BMS Institute of Technology and Management

Bachelor of Engineering - BE, Computer Science

University of Glasgow

Master of Science - MS, Data Science