Monika Vaddineni

Monika Vaddineni

Data Engineer @ Gather Vacations

About

I am a versatile and results-driven Data Engineer with over 5 years of experience in designing, developing, and optimizing scalable data pipelines, ETL processes, and business intelligence solutions across diverse industries including e-commerce, healthcare, finance, and retail. Throughout my career, I’ve been passionate about turning complex data into actionable insights and enabling businesses to make efficient data-driven decisions. My expertise spans a wide range of technologies and cloud platforms, including: Skills: Cloud Platforms: AWS (Glue, Redshift, S3, EC2, Lambda, EMR ), Azure (Azure Data Factory, Azure Databricks, Synapse Analytics), and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub), Snowflake, DBT Big Data: Apache Spark (PySpark, Spark SQL), Hadoop (HDFS, MapReduce), Airflow, Kafka, and Apache NiFi, Apache Flink, Apache Beam Programming & Data Management: Python, SQL (PostgreSQL, MySQL, Oracle), dbt, Hive, and NoSQL databases( MongoDB, DyanomoDB, GraphQL) Business Intelligence: Tableau, Power BI, Looker, and AWS QuickSight. DevOps & Automation: Kubernetes, Docker, Jenkins, Azure DevOps, CI/CD pipelines. I have successfully enhanced the performance, security, and scalability of data solutions while aligning business goals with cutting-edge technologies. I’m skilled in building and maintaining robust, secure, and efficient data architectures, utilizing best practices for cloud environments. Key Highlights: • Led the development of ETL pipelines to process and integrate large datasets, resulting in significant improvements in operational efficiency and data accessibility. • Implemented data processing and analytics solutions on AWS, Azure, and GCP, helping businesses make data-driven decisions and improve customer experience. • Optimized cloud architectures, achieving cost reductions and faster data processing times. • Led the successful migration of Teradata to Snowflake, moving data from on-premises to cloud environments, ensuring scalability and high performance. • Collaborated with cross-functional teams to build data-driven solutions that support real-time analytics and improve business outcomes. I love connecting with new people, you can reach me at 📧 Email: monikavaddineni@gmail.com

Country

-

City

United States

Industry

Computer Software

Skill

AWS Quicksight, AWS Glue, AWS Redshift, AWS Lambda, Amazon CloudWatch, S3, Apache Kafka, AWS Identity and Access Management (AWS IAM), Amazon EKS, Google Cloud Platform (GCP), Google BigQuery, Google cloud storage, Google Cloud Dataflow, Looker, Apache Airflow, Apache Spark, Azure Data Factory, Azure lakehouse, Azure synapse analytics, AWS S3

Experience

Gather Vacations

Data Engineer

Gather Vacations

LinkedIn
2025-3 - Present · 1 yr 7 mos

United States

Pyramid Consulting, Inc

Data Engineer

Pyramid Consulting, Inc

LinkedIn
2024-9 - 2025-2 · 6 mos
Radiant Infotech Inc

Data Engineer Intern

Radiant Infotech Inc

LinkedIn
2024-2 - 2024-5 · 4 mos

Richardson, TX

The University of Texas at Dallas

Graduate Student

The University of Texas at Dallas

LinkedIn
2022-8 - 2024-5 · 1 yr 10 mos
WAFU Technologies Private Limited

Data Engineer

WAFU Technologies Private Limited

LinkedIn
2019-6 - 2022-5 · 3 yrs

Education

The University of Texas at Dallas

The University of Texas at Dallas

LinkedIn

Computer/Information Technology Administration and Management

2022-8 - 2024-5 · 1 yr 10 mos

Monika Vaddineni's Contact Information

Email

******@***.com

Phone

(**) *** ****

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