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Sushmitha Vannam

Data Engineer • Baltimore, MD • s*****************@gmail.com • 410****935 • drivetube.ai/•••••

Professional Summary

Data Engineer with 3+ years of experience designing and delivering scalable data pipelines and lakehouse architectures on Azure and AWS, enabling real-time analytics and product insights through PySpark, Databricks, Delta Lake and Snowflake.

Technical Skills

Programming Languages: Python
Databases: SQL,Snowflake
Cloud and DevOps: Azure,AWS,Azure Data Factory,Azure Event Hubs,AWS Kinesis,Terraform,Docker,Kubernetes
Testing: Great Expectations,dbt,RBAC
Data and Analytics: PySpark,Apache Spark,ETL,ELT,Delta Lake,Medallion Architecture,Data Modeling,Databricks,Redshift,ADLS Gen2,Power BI,Hex
Orchestration & Infrastructure: Apache Airflow

Work Experience

University of Maryland, Baltimore County
Baltimore, MD
Graduate Research Assistant
Jan 2026 – May 2026
Graduate research assistant at UMBC supporting Machine Learning and Information Systems courses by running labs, creating notebooks, and evaluating student work.
Tech Stack: Python, NumPy, Pandas, Scikit-learn, SQL, Jupyter Notebooks
  • Led weekly lab sessions for 50+ graduate students covering Python, SQL and core machine learning concepts to improve hands-on proficiency and course engagement.
  • Created reusable Jupyter notebooks demonstrating NumPy, Pandas and Scikit-learn workflows for data preprocessing, feature engineering and model evaluation used across course labs.
  • Authored example Python code and step-by-step demonstrations that clarified ML workflows and contributed to improved student performance on assessments.
  • Designed hands-on lab exercises and curated datasets to reinforce theoretical concepts with practical data-processing and modeling tasks.
  • Evaluated and graded assignments, delivering constructive, actionable feedback that targeted common mistakes and improved learning outcomes.
  • Prepared instructional materials and worked with students to debug code examples, enhancing comprehension of data manipulation and model-building techniques.
Cognizant Technology Solutions, India
Data Engineer
Jan 2021 – July 2024
Worked at an IT services firm building data engineering solutions for telecom and product analytics, processing subscriber, billing and usage datasets to support analytics and product teams.
Tech Stack: Azure Data Factory, Databricks, PySpark, Delta Lake, ADLS Gen2, Snowflake, Azure Event Hubs, AWS Kinesis, Redshift, Python, SQL, Power BI, Great Expectations, dbt, Terraform, Docker, Kubernetes
  • Designed and owned high-volume ETL/ELT pipelines using Azure Data Factory, PySpark and Databricks ingesting 6M+ daily subscriber, billing and usage records to ensure timely availability for analytics and reporting.
  • Implemented Medallion (Bronze/Silver/Gold) lakehouse architecture on ADLS Gen2 and Delta Lake, increasing data availability and consistency by 35% for downstream analytics consumers.
  • Developed near real-time ingestion pipelines with Azure Event Hubs and AWS Kinesis, reducing analytics latency from 5–7 hours to under 30 minutes and enabling faster product decisions.
  • Analyzed large-scale transactional and user datasets with SQL and Python and built Power BI dashboards that surfaced behavioral trends, driving an 18% lift in user engagement and a 22% reduction in drop-offs.
  • Implemented data quality frameworks using Great Expectations and dbt tests to detect and prevent defects, cutting recurring data defects by 25% and improving trust in analytics outputs.
  • Automated infrastructure provisioning with Terraform and Docker, optimized PySpark transformations and data models to improve query performance by 30%, and supported real-time anomaly detection pipelines that improved detection accuracy.

Education

University Of Maryland, Baltimore County
Master of Science, Information Systems • Baltimore, MD • May 2026

Certifications

AWS Solutions Architect – Associate
DataCamp Certified Data Engineer – Associate — DataCamp
ISTQB Certified Tester – Foundation Level — ISTQB

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