Available to hire
I’m Srikar Raju Bhattu, a data analyst who thrives on turning complex healthcare and enterprise software data into clear, actionable insights. I enjoy collaborating with cross-functional teams to translate business needs into analytics that support supply chain planning, forecasting, and product decisions.
With 4+ years of hands-on experience, I specialize in SQL-based data modeling, cloud analytics (AWS and Azure), ELT pipelines, and building executive dashboards. I’m comfortable working with ERP/CRM data (SAP, Salesforce, Oracle CX) and I continuously leverage language models and AutoML to accelerate data exploration and prototyping.
Skills
Work Experience
Data Analyst at Cardinal Health
January 1, 2024 - PresentTranslated operational and business requirements into analytics supporting healthcare supply chain planning and pharmaceutical distribution decisions. Built and maintained Snowflake dimensional and fact models using SQL, improving query performance by 20–30% across inventory, order, and fulfillment datasets. Orchestrated ELT pipelines with AWS Glue, dbt, Airflow, and Lambda, achieving 99%+ data refresh reliability and reducing manual preparation by 30–40%. Integrated SAP ERP (ECC / S/4HANA) data into Snowflake on AWS for demand planning and supply chain performance analysis. Processed large datasets (10–100+ million records) using Python (Pandas, NumPy) and PySpark on AWS Databricks for historical and trend analysis. Developed forecasting and anomaly detection models using Python, SAS, Scikit-learn, and TensorFlow, improving demand accuracy by 8–12%. Designed and evaluated A/B tests using hypothesis testing and variance analysis, contributing to 3–5% service-level improvement
Data Analyst at Oracle
December 1, 2020 - July 1, 2022Delivered product and customer analytics for Oracle’s global SaaS platforms, supporting quarterly reviews and product planning. Built ETL pipelines with Azure Data Factory and SSIS, delivering optimized datasets in Azure Synapse Analytics and reducing processing time by 25–30%. Integrated Oracle CX / Siebel CRM customer and opportunity data into Azure analytics pipelines for adoption, churn, and executive reporting. Applied statistical modelling and hypothesis testing using R, Python, and SAS to identify drivers of customer behavior and revenue trends. Developed Tableau dashboards for leadership, reducing manual analysis effort by ~30% through standardized KPI reporting. Collaborated with product and engineering teams using GitHub, Bitbucket, and Confluence to manage code, metrics, and documentation.
Education
Masters in Information System at University of Colorado – Denver
January 11, 2030 - December 25, 2025Bachelors in Computer Science & Engineering at B V Raju Institute of Technology, Tuljaraopet, Telangana, India
January 11, 2030 - December 25, 2025Qualifications
Industry Experience
Healthcare, Software & Internet, Professional Services
Skills
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