Data Engineer Machine Learning

PALLAVI KONDRA

Data Engineer

+1-682-***-**** ************@*****.*** https://www.linkedin.com/in/pallavi-kondra-740282141/ https://github.com/pallavikondra01 Texas, USA

Summary

I am a Data Engineer with around 5 years of experience and a strong background in Programmer Analyst and Software Developer, adept at building scalable solutions to manage large datasets. I've developed ETL pipelines and optimized data workflows in both academic and professional settings. My skills in machine learning and programming complement my engineering background, driving improvements in efficiency and performance. I am passionate about leveraging data to solve complex problems. Experience

Uber Texas, USA

Data Engineer 06/2024 - 12/2024

• Designed and maintained scalable data pipelines that processed approx 1M+ transactions per day, enabling real-time analytics for ride- sharing and delivery services.

• Developed high-performance ETL workflows using Apache Kafka, Spark, and AWS, reducing data processing latency by 10% and improving the speed of key analytics dashboards.

• Collaborated with Data Science and Product teams to deliver clean, reliable datasets, efficiently helped in real-time decisionmaking for pricing algorithms, route optimization, and customer experience.

• Implemented automated data validation and monitoring systems, improving data accuracy by 15% and ensuring real-time event tracking with minimal downtime.

• Integrated multi-source data into Uber's cloud-native data platform (AWS/BigQuery), supporting over 100+ business stakeholders with seamless access to analytics and reports.

• Spearheaded data quality improvement initiatives, reducing data inconsistencies by 20% through proactive issue detection and optimized data transformation processes.

• Contributed to the migration of critical legacy systems to a cloud-based architecture, reducing operational costs by 20% while ensuring compliance with internal security standards.

• Participated in Agile Scrum ceremonies, contributing to sprint planning, daily stand-ups, and retrospectives to deliver high-impact projects on time.

Dell Hyderabad, India

Software Engineer 08/2021 - 06/2023

• Designed, developed, and maintained scalable backend services using Java and Spring Boot, improving application performance by up to 30%.

• Collaborated with cross-functional teams including QA, DevOps, and product managers to deliver end-to-end features across multiple sprints in an Agile environment.

• Led the integration of RESTful APIs with frontend systems and third-party services, reducing system latency and enhancing user experience.

• Automated key processes and deployment pipelines using Jenkins and Docker, resulting in a 40% reduction in manual deployment efforts.

• Conducted code reviews and mentored junior developers, ensuring high code quality and adherence to best practices.

• Worked closely with stakeholders to gather requirements and transform them into technical specifications, contributing to the successful delivery of multiple high-impact releases.

Cognizant Hyderabad, India

Programmer Analyst 12/2018 - 03/2021

• Completed a rigorous 3-month training program covering Java, SQL, (Software Development Life Cycle)SDLC methodologies, and Cognizant's internal tools, scoring in the top 10% of the batch.

• Collaborated with a team of 6+ developers to deliver enhancements and bug fixes for a web-based application used by over 50,000 users.

• Developed and maintained Java-based backend services, reducing response time by 15% through code optimization and efficient data handling.

• Participated in over 10 Agile sprints, delivering user stories on time with 95% success rate in meeting sprint goals.

• Executed unit testing for over 100 modules using JUnit, ensuring >90% code coverage and significantly reducing post-deployment defects.

• Contributed to daily stand-ups and sprint planning meetings, helping improve team velocity by 20% over 3 months.

• Assisted in two successful production deployments with zero major post-deployment issues, improving client satisfaction scores. Projects

National Highway Traffic Safety Administration (NHTSA) 01/2024 - 06/2024 Developed a machine learning model to assist NHTSA in classifying automotive complaints

• Developed a Multi class Machine Learning Model to classify automotive complaints into risk categories, reducing manual review workload

• Analyzed over 400K consumer complaints and other records to identify patterns and prioritize safety risks

• Implemented XGBoost, Random Forest, and BERT-based NLP models to gain insights from structured and unstructured data

• Designed an automated complaint flagging system to enhance vehicle recall management Vehicle Insurance Company 03/2023 - 08/2023

Created predictive models for improving marketing strategies in vehicle insurance

• Applied Big Data analytics and machine learning to find potential vehicle insurance customers among existing policyholders

• Developed predictive models in Python to enhance customer targeting and marketing efficiency 3D Interactive Solar System in VR 09/2023 - 12/2023 Created a 3D interactive VR application featuring a solar system

• Designed a VR application using Unity to simulate a realistic solar system

• Developed AI-driven functionality to enable interactive voice and text-based experiences in VR Skills

Cloud & Big Data Technologies:-:

Azure Databricks AWS(Amazon Web Services) SMOTE Apache Airflow Snowflake Hadoop Spark Kafka K-Means Clustering Data Engineering & ETL:-: Data Warehousing Snowflake Schema ETL Pipelines Data Modeling Workflow Automation Programming & Scripting:-: Python SQL PySpark R Apache Java C Language C++ Database Management Systems(DBMS):-:

MySQLMicrosoft SQL Server Firebase Oracle DB SQLite PostgreSQL MongoDB Redis Data Processing & Optimization:-: Partitioning Data Integration Workflows Performance Tuning Business Intelligence & Reporting:-: Power BI TableauQlikView Data Visualization Machine Learning & Advanced Analytics:-:

Natural Language Processing (NLP) AI-driven Applications MLflow Predictive Modeling Sentiment Analysis Sagemaker Soft Skills:-: Technical Documentation Cross-functional Collaboration Stakeholder Communication JIRA Trello Education

University of North Texas Texas, USA

Masters in Business Analytics 08/2023 - 05/2025

Certification

AWS Certified Data Engineer - Associate Amazon web service Issued this certificate on April 17 2025 Google Data Analytics Coursera Issued this certificate on Jan 11 2025

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