Seema Sweety
Jammalamadugu
Summary
Data Engineer with extensive IT experience, transitioning to Content Moderator role. Proficient in managing large datasets, utilizing SQL, and creating dashboards to detect patterns and anomalies. Demonstrates strong analytical skills and precise written communication, effectively interpreting and applying guidelines for user-generated content review in dynamic, KPI-focused settings.
Overview
2
2
years of professional experience
Work History
Data Engineer
LTI Mindtree
Hyderabad
10.2023 - Current
- Executed data quality checks to ensure accuracy and reliability of datasets.
- Created stored procedures in SQL Server to automate repetitive tasks.
- Built dashboards and reports for operations teams to track policy violations and quality metrics.
- Conducted software testing to identify defects and validate overall functionality.
- Collaborated with developers to clarify specifications, enhancing test coverage.
- Reviewed software requirements, developing comprehensive test plans and scenarios.
Education
B.Tech - Computer Science and Engineering
Gouthami Institute Of Technology And Management For Women(JNTUA)
Jammalamadugu 09-2022
Intermediate - MPC
Sai Parameshwara Junior College
Jammalamadugu04.2018
SSC - Board of secondary education
Saraswathi High School
Jammalamadugu03.2016
Skills
- Content review and classification
- Problem solving and root cause analysis
- Analytical thinking and pattern recognition
- Critical thinking and contextual judgment
- SQL querying for reports
- AWS services (Glue, QuickSight, EC2, S3, Athena, EMR, SQS)
- HRM and ERP applications
- Emotional resilience and stress management
Projects
- Project 1: Big Data Processing Using Glue Athena is a big query project in which we used AWS services like S3 for data storage, and then we used the GLUE database for fetching the query to Athena (serverless query) using Glue Crawler in Athena by SQL query, we filtered results from the database, and then the results were displayed in Amazon QuickSight.
- Project 2: Big Data Processing Using EMR In this process, we used AWS services different from project 1, we used the EMR cluster instead of Glue, and added a step to the cluster, then we filtered results from the database that were displayed in Amazon QuickSight.
- Working as a Data Analyst on a Citi Bank project, conducting software testing to identify defects and validate end‑to‑end functionality.
Certification
- Completed the Generative AI Foundation Course.
Interests
- Listening to music
- Birding
- Reading books
- Mindfulness
Timeline
Data Engineer
LTI Mindtree
10.2023 - Current
B.Tech - Computer Science and Engineering
Gouthami Institute Of Technology And Management For Women(JNTUA)
Intermediate - MPC
Sai Parameshwara Junior College
SSC - Board of secondary education
Saraswathi High School