Preethi Manisha Vempati
Mount Pleasant,MI
Summary
Data Engineer with a strong background in data engineering, adept at designing, implementing, and managing robust infrastructure solutions to support data-driven applications. I am skilled in automating processes, optimizing performance, and ensuring scalability. Provenability to collaborate with cross-functional teams to deliver high-quality products. Results-driven Data Engineer known for high productivity and efficient task completion. Skilled in big data processing frameworks like Hadoop and Apache Spark, database management using SQL, and data visualization with tools such as Tableau. Excel in problem-solving, collaboration, and adaptability to leverage technical skills in developing innovative data solutions across diverse environments.
Overview
1
1
year of professional experience
Work History
Data Engineer
Accenture Company
04.2021 - 07.2022
- Led the design and implementation of CI/CD pipelines using Jenkins, enabling automated testing and deployment of applications, resulting in a 30% reduction in release cycles
- Developed and implemented data models, database designs, data access, and table maintenance codes.
- Analyzed user requirements, and designed and developed ETL processes to load enterprise data into the Data Warehouse.
- Created stored procedures for automating periodic tasks in SQL Server.
- Performed full life cycle development of software applications using Java and J2EE technologies.
- Designed and developed reports using Business Objects, Tableau, QlikView.
- Automated data quality checks and error handling processes to ensure the integrity and reliability of datasets.
- Implemented infrastructure as code using Terraform, reducing provisioning time by 50% and improving infrastructure scalability.
- Orchestrated Docker containers using Kubernetes, enhancing application deployment and scaling efficiency
- Collaborated with development and QA teams to automate testing processes, improving overall product quality and reliability
- Managed and monitored cloud-based infrastructure on AWS, ensuring high availability and performance of critical services
- Conducted regular security audits and implemented best practices to enhance system security and compliance
Data Analyst
Accenture Company
04.2021 - 07.2022
- Developed and maintained ETL pipelines to ingest, transform, and load large volumes of data from diverse sources into a centralized data warehouse
- Designed data models and schemas to support analytics and reporting requirements, optimizing query performance and data retrieval
- Implemented data governance policies and procedures to ensure data quality, integrity, and privacy compliance
- Created interactive dashboards and visualizations using Tableau to provide insights into key business metrics and trends
- Collaborated with cross-functional teams to understand data requirements and deliver solutions that meet business objectives
Education
Masters - information systems
Central Michigan University
Michigan01.2024
Skills
- CI/CD Pipelines, Infrastructure as Code (Terraform, CloudFormation), Configuration Management (Ansible, Chef), Containerization (Docker, Kubernetes), Cloud Platforms (AWS, Azure, GCP), Monitoring & Logging (ELK Stack, Prometheus), Security Best Practices
- ETL development
- Data Security
- API Development
- Big data technologies
- Data Engineering: ETL Processes, Data Warehousing, Data Modeling, Data Pipelines (Apache Kafka, Apache Airflow), Big Data Technologies (Hadoop, Spark), Database Management Systems (SQL, NoSQL), Data Visualization (Tableau, Power BI), Machine Learning Basics
- Programming Languages: Python, SQL
- Tools: Jenkins, GitLab CI/CD, Git, Jira
- Methodologies: Agile (Scrum), DevOps Principles
- Database Design
- RDBMS
- Data Analysis
- SQL and Databases
- SQL Programming
- Business Intelligence
Timeline
Data Engineer
Accenture Company
04.2021 - 07.2022
Data Analyst
Accenture Company
04.2021 - 07.2022
Masters - information systems
Central Michigan University
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