Database Administrator & Data Analytics Expert

PREETHI BOMMAKANTI

385-***-**** *******************@*****.*** Linkedin- http://linkedin.com/in/preethi-b-71433832b SUMMARY

Database Administrator with experience in analyzing complex datasets, building data pipelines, and delivering actionable business insights. Proficient in Python, AWS, Azure, Fabric, SQL, and R, with substantial hands-on experience in Excel, VBA, Outlook, Google Sheets, and data visualization tools such as Power BI and Tableau. Experienced in designing automated ETL workflows, performing statistical analysis, and developing interactive dashboards to support strategic decision-making. Adept at working with large, multi-source datasets, building key performance indicators (KPIs), and translating business needs into data- driven solutions.

TECHNICAL SKILLS

Technical: Python, HTML, SQL, NoSQL, Data Analytics, APIs, Data Pipelines, Data Management, Statistical Analysis. Databases and Cloud: SQL Servers like SSRS, SSMS, and SSIS, Oracle, MongoDB, PostgreSQL, Snowflake, Microsoft Azure, AWS.

Tools: Power BI, Tableau, Alteryx, Informatica, Agile, Jira, CRM, EDA, Microsoft Office (Excel, Word, PowerPoint). Certifications: Object Detection with OpenCV and Python, International Security Management (Erasmus University Rotterdam) EXPERIENCE

Database Administrator Wipro, TX Feb 2023 – Present

• Built Medallion Architecture in Fabric, creating bronze, silver, and gold pipelines to ensure scalable, reliable, and high-quality data for analytics.

• Developed and maintained 15+ Azure Data Factory pipelines to automate ETL for new candidate tasks, reducing manual effort by 40%.

• Scheduled and automated API data workflows using tools like Databricks Jobs, reducing manual intervention.

• Optimized queries and maintained database performance in SSMS, while delivering insights via SSRS dashboards.

• Leveraged Power BI for dashboards, Power Apps for app development, and Power Automate for workflow automation, increasing efficiency by 30%.

Data Analytics Engineer Quality CDMO, TX Dec 2020 – Dec 2022

• Analyzed daily MongoDB data on seller success team calls, identifying patterns that led to a 15% sales increase.

• Created ETL pipelines with Glue and stored processed data in Redshift, enabling fast analytics and reporting.

• Built Tableau dashboards using AWS Redshift data, improving real-time insights and boosting data accessibility by 40%.

• Applied Python (Pandas, NumPy) for exploratory data analysis, uncovering patterns, trends, and actionable insights across large datasets.

• Designed and optimized Tableau visualizations using calculated fields, filters, and parameters for better insights.

• Used SQL and data exploration to analyze wealth management data, revealing trends that increased sales by 15%. Data Integration Intern EDASSIST (Internship) Apr 2019 – Oct 2019

• Implemented ETL processes using SQL Server Integration Services (SSIS) to load a substantial dataset of 10 million records for the Accenture recruitment project, resulting in a remarkable 30% enhancement in data processing efficiency.

• Automated SSRS reporting, saving 30 hours/month and ensuring accuracy across 10+ departmental reports. PROJECTS

PizzaSales Dashboard Sep 2023

• Built end-to-end data pipelines using Databricks (PySpark), processing 1M+ monthly records to generate cleaned and structured datasets.

• Implemented data transformations and validations, ensuring high data accuracy, consistency, and optimized performance for downstream analytics.

Game Day Analytics Challenge Feb 2023

• Analyzed 1.9M tweets for 90+ Super Bowl 2023 commercials, performing ETL with Python for data accuracy.

• Performed sentiment analysis of evaluated data utilizing Natural Language Processing (NLP) from Azure Cognitive Services.

• Cleaned data using Alteryx, visualized using Power BI, Tableau & presented 5 valuable key insights to the panel of judges. EDUCATION

Campbellsville University, United States

Master of Science in Computer Science, GPA 3.7

Coursework: Data Structures and Algorithms Database Management Systems Machine Learning Cloud Computing

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