Data Engineer
Summary
Results-driven Data Engineer with 7+ years of experience across banking, insurance, and healthcare domains. Expert in designing and migrating scalable data pipelines, cloud data lakes, and real-time analytics. Proficient in Python, Spark, SQL, Snowflake, Databricks, AWS (S3, Glue, Redshift, Lambda), and Azure (ADLS, ADF, Synapse, Blob Storage, Functions). Strong background in ETL, data modeling, legacy modernization, structured/unstructured data integration, with hands-on Hadoop ecosystem. Experienced in workflow orchestration (Airflow, NiFi), reporting tools (Power BI, Tableau), and DevOps practices (CI/CD, Git, Docker). Masters in Business Analytics & Information Systems with ML and cloud specialization.
Expectations
Im looking for a role where I can leverage my experience in data engineering to design scalable data pipelines and contribute to cloud migration initiatives. I value opportunities that promote learning, collaboration, and innovation in solving real-world data challenges.
Employment Preferences
Expected Base Salary
**,000 USD
Expected Total Compensation
**0,000 USD
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Skills
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