Python Developer || Data Engineering Enthusiast
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Passionate Data Engineer with expertise in designing scalable ETL pipelines and enabling real-time analytics using AWS services like Glue, Redshift, S3, Lambda, Athena, DynamoDB, and EMR. 🛠️ Skilled in automating workflows, ensuring data quality, and driving actionable insights using tools like Tableau 📊, Power BI 📈, Apache Spark, Snowflake ❄️, and Databricks. Proficient in Python 🐍, SQL, Apache Airflow, MongoDB, MySQL, Oracle, Kafka, Informatica, and Docker 🐳, I am committed to creating efficient and innovative data solutions that empower businesses to make impactful decisions.
Experienced Data Engineer specializing in building scalable ETL pipelines and enabling real-time analytics using AWS services like Glue, Lambda, Redshift, and S3. Proficient in optimizing data workflows, ensuring data accuracy, and delivering high-performance solutions. Successfully implemented end-to-end data pipelines and dashboards that drive business insights and operational efficiency.
Master's in Computer and Information Sciences from the University of North Texas with a cumulative GPA of 3.952. Completed coursework in Software Engineering, Machine Learning, Databases, and Big Data, providing a strong foundation in data analysis, cloud computing, and algorithm development.
