LAKSHMI SRAVANI RENDUCHINTALA
Hyderabad
Summary
Data Engineer with expertise in PySpark, SQL, Databricks, and Azure Data Factory, specializing in building scalable data pipelines and automating workflows. Experienced in backend development with Django, API integrations, and cloud-based data processing.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Senior Analyst
Tiger Analytics
07.2023 - Current
- Building ML prediction pipelines and integrating GenAI-powered backend services with a React-based chatbot UI on AWS.
- Developed and maintained daily/quarterly data pipelines for RTM Analytics Infrastructure across two markets to support Power BI dashboards.
- Automated workflows using PySpark, Azure Databricks, Azure Data Factory, ADLS files, SQL databases, and Logic Apps.
- US Market: Joined mid-project, contributed to pipeline development and later led maintenance. Built Databricks code for two Power BI tools and enhanced existing pipelines by adding new features and adapting to changing client needs.
- CEAB Market: Designed data pipelines and created orchestrated triggers in Azure Data Factory.
- Refactored Python (Pandas) code to PySpark and integrated it into the Simpel Framework, replacing Databricks execution to enhance performance and efficiency.
Analyst
Tiger Analytics
06.2022 - 06.2023
- Built data pipelines and implemented automated triggers for scheduled workflows.
- Designed and developed Django REST APIs to retrieve and send data from SQL databases, enabling seamless frontend integration.
- Contributed to the backend development of an Angular-based tool using Django to facilitate predictions and personalized offers for store products.
- Wrote optimized SQL queries for data retrieval, updates, and transactional operations while maintaining database integrity.
- Created unit tests to validate key components and ensure data flow reliability.
- Collaborated closely with frontend developers to align API responses with UI needs and tested dashboards for accuracy and responsiveness.
Intern
Tiger Analytics
01.2022 - 05.2022
- Developed a Flask application to display data from ADLS on the frontend.
- Integrated frontend and backend data workflows for app engineering.
- Worked on a regression template to analyze housing data, configure model training, and implement custom components with unit tests.
- Assisted in database management, query optimization, and backend improvements.
- Collaborated with cross-functional teams to enhance project workflows.
Education
BTech - CSE
Gitam University
Visakhapatnam, India04-2022
Skills
Programming & Scripting:
Python (PySpark, Pandas), SQL, Java, C, C
Data Engineering & Cloud Platforms:
Azure Data Factory (ADF), Azure Databricks (ADB), Azure Data Lake Storage (ADLS), Apache Spark, Spark SQL, Delta Lake
Web Development:
Django, Angular, HTML, CSS
Data Visualization:
Power BI
Other Tools & Technologies:
Unity 3D, Natural Language Processing (NLP), Generative AI (RAG - Retrieval Augmented Generation), Simpel Framework
Certification
- Databricks Certified Data Engineer Associate
- Tiger Analytics Certified CPG Foundations DC-100
Timeline
Senior Analyst
Tiger Analytics
07.2023 - Current
Analyst
Tiger Analytics
06.2022 - 06.2023
Intern
Tiger Analytics
01.2022 - 05.2022
BTech - CSE
Gitam University