Deepthi Shetty

• Working on end-to-end ETL workflows using Python, SQL, and MySQL to clean, transform, and load datasets for reporting
• Building data pipelines for CSV / Excel datasets, including validation, missing-value handling, and format standardization
• Practicing PySpark (basics) for batch data processing and transformation of large datasets
• Understanding Hadoop ecosystem fundamentals and distributed data concepts (learning level)
• Gaining hands-on exposure to AWS, Azure, and GCP (basics) — storage concepts, data workflows, and deployment awareness
• Writing SQL queries, joins, aggregations, and data validation logic for structured data tables
• Using Pandas for data cleaning, feature formatting, and dataset preparation
• Maintaining project code on Git / GitHub (learning level) and following structured documentation practices
• Preparing mini-reports and pipeline outputs to demonstrate data readiness for analytics
• Developing strong foundation in data quality, consistency, and reliability principles

Skills Used: Python, SQL, MySQL, Pandas, ETL, Data Pipelines, PySpark (Learning), Hadoop (Basics), AWS / Azure / GCP (Basics), Git, Excel (Data Handling).

• Managed large volumes of employee data, records, and reports using Excel and structured trackers
• Performed data validation, duplicate checks, and accuracy audits in employee records
• Prepared monthly reports and dashboards for attendance, onboarding, and HR metrics
• Standardized data formats and improved data quality & consistency in reports
• Coordinated with cross-functional teams to collect, update, and track data inputs
• Handled recruitment coordination and candidate tracking, maintaining structured databases and status reports
• Supported data-driven decision-making by generating summaries and insights from HR datasets

• Maintained employee master data and activity logs, ensuring structured record-keeping and timely updates
• Monitored HR process data such as attendance, leave, and joining status, and prepared periodic summary reports
• Reviewed and corrected inconsistencies in HR records through data checks and validations
• Created process trackers and spreadsheets to monitor task progress and provide status visibility to management
• Supported operations by organizing data inputs from teams and keeping information accurate and up to date
• Assisted in recruitment follow-ups and candidate status tracking, maintaining organized lists and reports.