Data Engineer Power Bi

Sanjana Ganesuni

Cincinnati, OH

513-***-****

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Junior Data Engineer Azure & Databricks SQL Python Professional Summary

Enthusiastic Data Engineer with 1 year of industry experience building cloud-native data pipelines and analytical dashboards. Adept at Azure Synapse Analytics, Databricks (PySpark), and Azure Data Factory, with a solid grounding in SQL optimization, big-data processing, and business-intelligence reporting (Power BI, Tableau). Known for quickly mastering modern data-engineering tools and translating business questions into reliable, scalable data solutions. Core Technical Skills

Category Tools / Technologies

Cloud &

Big-Data

Azure (ADF, Synapse, Databricks, Data Lake, Blob Storage), AWS (Glue, S3, EC2, Redshift), Hadoop, Spark, Kafka

Languages Python, SQL, Scala, Java, C/C++, PL/SQL

Databases SQL Server, MySQL, PostgreSQL, Snowflake, Cassandra, Cosmos DB ML / Libraries Pandas, NumPy, Scikit-learn, TensorFlow, Keras, MLlib BI / Reporting Power BI, Tableau, SSRS, Power Apps, Power Automate DevOps & VCS Git/GitHub, Jenkins, Docker, Kubernetes OS Linux, Windows, Unix

Professional Experience

Data Engineer

Azure Data Factory & Databricks: Designed and deployed five end-to-end pipelines (batch & event-triggered) that ingest

~200 GB/day from on-prem and SaaS sources into Azure Data Lake Gen2, then cleanse and transform with PySpark notebooks.

● Synapse Analytics: Modeled star-schema tables and materialized views, cutting report run-times by 45 %.

● Power BI: Built interactive dashboards with DAX measures for Ops KPIs; introduced row-level security and automated email alerts via Power Automate.

● CI/CD: Added YAML pipelines in Azure DevOps to unit-test notebooks and automate ARM template deployments.

● Collaboration: Participate in 2-week sprints, peer code reviews, and root-cause analyses for data freshness issues, trimming SLA breaches from 9 % to <2 %.

Academic Projects (University Capstone, 2023)

Project Key Tech Highlights

Real-Time

Product-Sentime

nt Pipeline

AWS Kinesis, Glue,

PySpark,

Redshift, Tableau

Stream-processed 50k tweets/hr, achieving 1.2 s

end-to-end latency and 92 %

sentiment-classification accuracy.

Healthcare

Readmission

Dashboard

Azure Synapse, SQL,

Power BI

ETL’d 1.5 M EMR records; created drill-through

visuals that helped clinicians identify top 5

readmission drivers.

Education

Certifications

● Microsoft Certified: Azure Data Engineer Associate (2024)

● Databricks Lakehouse Fundamentals (2024)

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