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Raghuveera Narasimha

@raghuveeranarasimha

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Data Engineer and BI professional with expertise building scalable cloud platforms on Azure and AWS.

United States

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What I'm looking for

Data Engineer and BI professional with expertise building scalable cloud platforms on Azure and AWS. Seeking a Data Engineer or BIE role at a high-growth company. My focus is on using Python, Databricks, and real-time streaming to translate complex data into actionable business intelligence.

Data & BI Engineer building real-time data platforms on Azure/AWS. Skilled in Databricks, Snowflake, Python, & Tableau. Passion for turning data into insights.

Experience

Work history, roles, and key accomplishments

Data Engineer Co-op

Walgreens

Mar 2024 - Apr 2025 (1 year 1 month)

Assembled scalable ETL workflows using Airflow, Databricks and SQL to integrate pharmacy, POS, and loyalty data, reducing data processing time and improving dashboard refresh rates. Designed cloud-native data models in Synapse Analytics and migrated historical prescription data from SQL Server, enabling near real-time analytics for refill trends and adherence monitoring across 8K+ stores.

Airflow Databricks SQL Synapse Analytics Kafka PySpark Azure Data Lake Gen2 Azure Data Catalog HIPAA Pyspark

Data Analytics Engineer

Open Financial Technologies

Jul 2022 - Mar 2023 (8 months)

Formulated scalable ELT workflows using Data Factory, dbt, and Databricks to ingest financial and CRM data into Snowflake, which shortened financial reporting cycles from 6 days to under 12 hours. Enabled real-time fraud signal processing by leveraging Kafka, Spark Streaming, and Azure Data Lake Storage, which led to a 22% reduction in suspicious transaction incidents across 1M+ daily events.

Data Factory Databricks Snowflake Kafka Spark Streaming Azure Data Lake Storage Tableau Great Expectations LLMs LLM DBT

Data Engineer

Zentek Infosoft

Aug 2019 - Jul 2022 (2 years 11 months)

Constructed a serverless ETL framework using AWS Glue and Python to ingest and cleanse client retail data from MongoDB, streamlining daily batch loads and cutting processing latency by 40%. Modeled a Snowflake data warehouse schema for a healthcare analytics platform, aligning with HIPAA standards and enabling seamless Power BI/Tableau dashboard integration for 30+ end users.