DEEPIKA NIMMALA

London

Summary

Dedicated Data Engineer in implementing data-driven solutions using Microsoft Azure technologies. Specialized in designing, developing, and optimizing ETL workflows, data pipelines, storage solutions, and business intelligence dashboards. Adept at leveraging ADF, Databricks, Synapse Analytics, Power BI, and other tools to drive operational efficiency, improve data processing speeds, and provide actionable insights to business stakeholders. Proven ability to achieve performance improvements, reduce costs, and enhance overall data processing reliability.

Overview

years of professional experience

Work history

Team Member

Shake Shack

King Cross

2025.10 - 2026.04

Delivered high-quality customer service in a fast-paced environment, handling food orders and payments accurately
Operated POS systems and managed both cash and card transactions efficiently
Maintained cleanliness and hygiene standards in line with company and food safety regulations
Collaborated with team members to ensure timely order preparation during peak hours
Ensured order accuracy, contributing to positive customer experience

Back of House Team Member

Chikn Notting Hill Gate

Notting Hill Gate

2022.04 - 2026.01

Prepared and cooked food items while adhering to strict hygiene and safety standards
Assisted in stock management and inventory control to ensure smooth kitchen operations
Maintained organised and clean workstations, improving efficiency in busy service periods
Worked collaboratively with team members to meet service time targets
Followed all health and safety procedures in food handling and preparation

Education

Master of Computer Science -

University of East London

London

Bachelor of Computer Science -

Malla Reddy College of Engineer and Technology

Hyderabad

Skills

Azure Technologies : ADF, Databricks, Synapse, Azure SQL Database, ADLS, CosmosDB, Delta Lake

Data Engineering : ETL Development, Data Pipelines, Data Transformation (PySpark, SQL), and Data Lake Architecture

Business Intelligence : Power BI, Tableau, SSRS, Reporting Dashboards

Cloud Data Storage : Delta Lake, ADLS, CosmosDB, S3, RedShift, Snowflake

Orchestration & Automation : Airflow, DevOps, Git, CI/CD

Programming & Querying : Python, SQL, PySpark, Postgres, KQL

Data Modelling and Governance: Unity Catalog, SSAS, SSIS, Data Quality, and Validation

Affiliations

Strong interest in data engineering, with a focus on developing efficient data pipelines, data transformation processes, and working with cloud platforms such as AWS and Azure to support scalable data solutions.

Projects

PROJECT 1: Worked on a simple data analysis project using a sample sales dataset to understand trends and patterns. The data was cleaned and organised using Excel, and SQL was used to query and extract useful insights such as top-selling products and monthly sales performance. The results were then visualised using Power BI to create an interactive dashboard. This project helped in building a strong foundation in working with structured data, basic querying, and presenting insights in a clear and meaningful way.

PROJECT 2: Developed a basic web application to help users browse and explore property listings for buying, selling, and renting. The project involved storing property details in a MySQL database and using SQL queries to retrieve and display relevant listings based on user input. The application was deployed on AWS, which helped in understanding how cloud platforms can be used to host applications and manage data. Simple data handling was implemented to organise property information, and basic validation was added to ensure the accuracy of listings. This project provided hands-on experience with working on structured data, connecting frontend with a database, and deploying applications in a cloud environment.

Timeline