Manoj Kumar Bollimuntha
Analytics Backend Solutions Lead @AstraZeneca
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WORK HISTORY
Analytics Backend Solutions Lead @AstraZeneca
EDUCATION
GITAM Deemed University
Bachelor of Technology (BTech), Computer Science and Engineering
Sri Venkateswara Bala Kuteer
Junior High/Intermediate/Middle School Education and Teaching
ABOUT MANOJ KUMAR BOLLIMUNTHA
I build data platforms and analytics solutions that turn complex enterprise data into decisions.With 12 years in data engineering, spanning pharma, financial services, and insurance. I specialise in designing scalable ETL pipelines, cloud data architectures, and analytics backends that organisations rely on at scale.At AstraZeneca, I serve as Analytics Backend Solutions Lead within Global Business Services, leading a 19-member Data Analysis community across multiple operational domains. My work spans end-to-end data product design, backend optimisation, automated forecasting systems, and enterprise-wide solutioning governance having reviewed 100+ analytics solutions to ensure consistency, reusability, and best-practice alignment across the organisation.Before moving into a leadership role at AstraZeneca, I spent 9 years at Virtusa as a consultant, delivering data engineering solutions for clients including Citibank, JPMorgan Chase, HomeServe, and IFFCO-Tokio, building data lakes, migrating legacy pipelines, and implementing MDM solutions at enterprise scale.Core expertise: · Data Engineering & ETL: Python, SQL, Talend, SnapLogic · Cloud & Big Data: Snowflake, AWS S3, Kafka, Spark, Hadoop · Analytics & Automation: Power BI, Power Automate, DataFlows · Databases: Oracle, PostgreSQL, Redshift, SQL Server · Disciplines: MDM, Data Warehousing, Data Modelling, Data Governance Recognition: 10x AstraZeneca employee recognition awards, including: · Finance Excellence Award — Automated Forecasting Engine · Finance Process Champion — Mid-month forecasting transformation, EUCAN region · Service Excellence Award — Outstanding delivery at Virtusa DAMA Certified Data Management Professional (CDMP)
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