Title: 🔹 Data Engineer / Data Scientist – Azure | AWS | Databricks | Python | ML
Availability: Immediate | Preferred Roles: Data Engineer / Data Scientist / MLOps Engineer / AI Engineer
Summary:
Highly skilled Data Engineer / Data Scientist with 4+ years of experience in cloud-scale data pipelines, AI/ML, and analytics. Expertise in Azure Data Factory, Databricks, Snowflake, AWS Redshift, and end-to-end ML pipeline development using Python, Spark, and MLOps tools. Strong experience in data integration, real-time streaming, and dashboarding (Power BI, Tableau).
Technical Skills:
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Languages: Python, SQL, Java, R, C++
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Cloud Platforms: Azure (ADF, Synapse, Data Lake, Cognitive Services, Azure ML), AWS (S3, Lambda, EMR, ECS)
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Data Engineering: Databricks, Spark, Kafka, Airflow, Snowflake, Redshift
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ML & AI: PyTorch, TensorFlow, Scikit-learn, MLflow, Azure OpenAI
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Visualization: Power BI, Tableau
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DevOps: Docker, Kubernetes, Jenkins, GitHub Actions
Work Experience Highlights:
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Fannie Mae (Remote): Built and optimized large-scale ETL pipelines, automated ML forecasting systems, and CI/CD deployments.
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Chevron (Remote): Managed streaming pipelines using Databricks and Azure Data Factory, enhancing data reliability.
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Cognizant: Automated ETL and reporting pipelines with Jenkins & Power BI.
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Apeiro Technologies: Created Power BI dashboards, automated reports, and improved SQL workflows.
Education:
M.S. in Data Science – University of Maryland, Baltimore County
Availability: Immediate | Preferred Roles: Data Engineer / Data Scientist / MLOps Engineer / AI Engineer
Employer Details:
Contact Person: Revathi Karanki
Email: revathi.k@denkensolutions.com
Phone: +1 (949) 535-1577
