Summary
Overview
Work History
Education
Skills
Projects
Certification
Timeline
Generic

Priya Darshini Vanteddu

Data Ops Engineer
Hyderabad

Summary

Highly motivated Data Ops Engineer with 3 years of experience seeking transition into Data Engineer role. Passionate about designing, building, and optimizing data pipelines and architectures to support scalable and efficient data solutions. Demonstrated expertise in managing data operations, ensuring data quality, and implementing data governance practices. Proven track record of collaborating with cross-functional teams to identify and address data-related challenges. Committed to staying up-to-date with latest industry trends and technologies to drive continuous improvement in data management and analysis.

Overview

7
7
years of professional experience
6
6
years of post-secondary education
3
3
Certifications
3
3
Languages

Work History

Data Ops Engineer

Optum
09.2021 - Current
  • Developed robust ETL workflows leveraging Apache Airflow, automating seamless data integration across Azure, BDPaaS, and Snowflake environments.
  • Designed and maintained scalable Azure-based data pipelines, optimizing data ingestion, transformation, and storage for high-performance processing.
  • Led and supported a large-scale data migration project, successfully transitioning critical datasets from Netezza to Azure, ensuring data integrity, minimal downtime, and optimized performance.
  • Addressed critical data quality issues, developing automated validation processes and improving data accuracy, consistency, and reliability.
  • Generated and analyzed comprehensive data quality reports, identifying trends, anomalies, and discrepancies to enhance data governance practices.
  • Optimized complex SQL queries to enhance data transformation efficiency, ensuring high accuracy and reduced processing time.
  • Led knowledge-sharing sessions on emerging data engineering trends within the team.
  • Monitored and fine-tuned Azure Pipelines, improving workflow efficiency and minimizing operational bottlenecks.
  • Implemented Kafka-based real-time streaming solutions, enabling low-latency data ingestion and processing for mission-critical applications.
  • Delivered high-impact data solutions by maintaining precise technical documentation and adhering to strict project deadlines, ensuring seamless execution.

Data Analyst Intern

Cognizant Technologies
10.2020 - 08.2021
  • Assisted in designing data models and performed data analysis for business intelligence solutions
  • Developed Python scripts for automated reporting and data transformation
  • Worked with Google Cloud Platform (GCP) services for data storage and analysis
  • Designed and implemented a machine learning model to detect fraudulent transactions based on customer transaction data.
  • Utilized Python, Scikit-learn, and SQL for data preprocessing, feature engineering, and model development.
  • Improved fraud detection accuracy by optimizing classification algorithms and implementing real-time data validation.

Intern

Naresh IT Technologies
05.2019 - 07.2019
  • Developed a carpooling website using JavaScript, Oracle 10g, HTML, and CSS

Intern

ITON Technologies
05.2018 - 07.2018
  • Worked on Digital Archiving and Social Media Marketing Intelligence

Education

B.Tech - Computer Science

Amrita Vishwa Vidyapeetham University
01.2017 - 01.2021

XII - undefined

Sri Chaitanya Educational Institutions
01.2015 - 01.2017

X - undefined

Sri Chaitanya Techno Schools

Skills

Python

Projects

1.Self-Driving Car Simulation
Developed a deep learning-based simulation model for autonomous vehicle navigation.
Implemented Convolutional Neural Networks (CNNs) for image recognition and object detection.
Used OpenCV and TensorFlow for real-time image processing and lane detection.
2.Lane Detection on Roads
Built a real-time lane detection system using computer vision techniques.
Utilized Canny Edge Detection and Hough Transform algorithms to identify lane markings in different lighting conditions.
Optimized the system for real-time deployment in autonomous driving applications.
3.College Course Prediction System
Designed an ML-powered recommendation system to help students choose courses based on their academic background and interests.
Used Collaborative Filtering and Natural Language Processing (NLP) for personalized course recommendations.
Integrated the model with a web-based UI for enhanced user experience.
4.Traffic Sign Detection
Developed a deep learning model for recognizing traffic signs in real-time.
Used YOLO (You Only Look Once) object detection model for high-speed and accurate identification.
Trained the model on a large dataset of traffic sign images to improve detection accuracy.
5.Credit Card Fraud Detection System: Developed an ML model to detect fraudulent transactions using Python and SQL.
6.College Course Prediction System: Built a recommendation system using ML algorithms.
7.Database for an Art Store: Designed a relational database for artists to sell artwork.

Certification

Microsoft Certified: Azure Data Engineer Associate

Timeline

Data Ops Engineer

Optum
09.2021 - Current

Data Analyst Intern

Cognizant Technologies
10.2020 - 08.2021

Intern

Naresh IT Technologies
05.2019 - 07.2019

Intern

ITON Technologies
05.2018 - 07.2018

B.Tech - Computer Science

Amrita Vishwa Vidyapeetham University
01.2017 - 01.2021

XII - undefined

Sri Chaitanya Educational Institutions
01.2015 - 01.2017

X - undefined

Sri Chaitanya Techno Schools
Priya Darshini VantedduData Ops Engineer