Deepa Sharma

• Designed and developed comprehensive ETL pipeline process utilizing AWS tools and Snowflake.
• Created and optimized SQL scripts based on business requirements to enhance performance.
• Developed automated framework scripts using PySpark to streamline operations.
• Resolved customer issues creatively, achieving high levels of satisfaction.
• Executed predictive analysis on large datasets demonstrating analytical excellence.
• Analyzed data with GCP BigQuery, generating detailed analytics reports.
• Presented complex data insights to deliver actionable intelligence effectively.
• Led project execution, assigning responsibilities and reporting progress to senior leadership.

• Designed and developed multiple RDBMS platform migrations, enhancing program and script efficiency.
• Optimized existing jobs, stored procedures, and views to boost readability and speed in MySQL.
• Created Kafka connections using Talend Database, facilitating seamless data integration.
• Developed automation framework scripts in Python to improve operational workflows.
• Leveraged strong knowledge of Hadoop architecture and its ecosystem for data processing solutions.

• Developed Server Metrics to analyze CPU and memory utilization using FBProphet for forecasting.
• Executed anomaly detection by identifying rare data patterns with Simple Moving Average algorithm.

Completed foundational data science course covering Numpy, Pandas, Matplotlib, and basic machine learning algorithms.

Acquired skills in Python programming and Oracle database management.

Conducted sentiment analysis project 'Twitter Crawl' to evaluate TV show popularity through social media metrics.

• Gained deep analytics expertise in big data concepts utilizing Hadoop, MapReduce, and NoSQL technologies.
• Leveraged PySpark for efficient data processing and analysis across various projects.
• Utilized Airflow for orchestration of data workflows and automation.