Summary
Overview
Work History
Education
Skills
Open To Relocation
Websites
Projects
Certification
Timeline
Generic

Niveditha Posani

Tempe,AZ

Summary

Results-driven Data Engineer and Analyst with a Master of Science in Information Technology from Arizona State University. Proven expertise in optimizing data processes, enhancing data quality, and delivering actionable insights. Proficient in utilizing a diverse set of tools and technologies to streamline ETL pipelines, visualize data, and implement data-driven solutions. Experienced in AWS services, database management, and proficient in programming languages.

Overview

3
3
years of professional experience
1
1
Certification

Work History

Data Engineer / Analyst

SureIT Solutions
07.2019 - 07.2021
  • Enhanced customer experience and operational efficiency by 15% through predictive modeling on the Customer Trip Prediction (CTP) project
  • Improved data extraction efficiency by 40% using AWS services for JSON and XML record processing, and managed SQL and NoSQL databases (PostgreSQL and Cassandra)
  • Reduced data processing time by 30% by designing and implementing data pipelines for the CTP project, handling transaction records from SQL Server
  • Achieved a 99.8% data accuracy rate and reduced data-related issues by 20% by optimizing data ingestion processes for continuous model training
  • Collaborated with cross-functional teams to align data engineering with business objectives, increasing project efficiency
  • Managed data dashboards, reducing troubleshooting time by 25% and improving pipeline performance by 10%
  • Implemented seamless data flows using Pyspark, EMR, and Step Functions in the AWS ecosystem
  • Implemented automated document classification with supervised ML models, achieving a 95% accuracy rate and reducing manual workload by 50%
  • Containerized microservices using Docker containers and managed orchestration during AWS deployment
  • Established scalable ETL pipelines and data warehousing infrastructure using Snowflake and AWS services (S3, EC2, Lambda, Glue) for advanced analytics
  • Utilized a comprehensive toolkit, including Python, SQL, AWS Glue, Lambda, Tableau, Excel, NoSQL, Machine Learning, RedShift, Docker, NLP, and more to drive project success.

Data Engineer / Analyst

SHA Associates
04.2018 - 07.2019
  • Developed domain expertise, translating business needs into technical solutions, contributing to enhanced operational efficiency and customer satisfaction
  • Engineered and optimized data ingestion processes, ensuring high data quality and timely updates, utilizing AWS S3 and Lambda to reduce data processing time by 20%, and migrating to Amazon RDS for a 50% decrease in infrastructure expenses with AWS DMS support
  • Enhanced data transformations through interactive web applications (JS, HTML, CSS) for seamless API calls, while custom Python scripts and SQL queries reduced data errors by 25%
  • Created impactful Power BI dashboards with DAX, leading to a 30% increase in data-derived insights, and improved data reliability by 40% using AWS Glue for data manipulation and cleansing
  • Streamlined project execution by translating business requirements into technical blueprints, following Agile and SDLC methodologies
  • Leveraged a diverse toolset (AWS, SSIS, Power BI, Excel, SQL, Python, RDS, DAX, JavaScript, HTML/CSS, Jira) to drive successful project outcomes.

Education

Master of Science in Information Technology -

Arizona State University - United States
05.2023

Bachelor of Science in Computer Science -

Jawaharlal Nehru Technological University - Hyderabad, India
06.2020

Skills

  • Programming Languages: Java, Python, SQL, Spark-SQL, Pyspark, HTML, CSS, JavaScript
  • Databases: MySQL, MSSQL, NoSQL, PostgreSQL, MongoDB
  • Libraries: Pandas, NumPy, Scikit-learn, TensorFlow, Plotly, Seaborn, Matplotlib
  • Project Tools: Tableau, PowerBI, Git, Github, MS Office (Adv Excel, Power Query, Pivot, Lookups), Jira, SSMS, SSIS
  • Data Tools: Apache Spark, ETL, Databricks, Apache Airflow, Hadoop, Microsoft Azure
  • OS and Servers: Linux, Windows, macOS
  • Cloud Computing: Amazon Web Services (S3, EC2, Lambda, SES, SNS, SQS, CloudWatch, Redshift)
  • Agile Methodologies: Scrum

Open To Relocation

Yes, Anywhere in United States

Projects

Customer Trip Prediction, 11/20 - 06/21

  • Predicted customer trip patterns and provided insights to improve customer experience.
  • Developed data pipeline, performed statistical analysis, and identified patterns in customer toll transaction data.
  • Collaborated with cross-functional teams to design and implement Tableau dashboard for data visualization.

Data Management System for Twitch Streaming, 12/21

  • Designed and implemented a database schema to analyze Twitch streaming data, focusing on followers, viewers, and stream time.
  • Implemented the schema using SQL and NoSQL and created an ORM diagram to visualize the project’s flow.
  • Improved database design skills, time management, and teamwork.

Netflix Movies and TV Shows, 11/22

  • Created an interactive platform using Tableau to analyze the attributes that influence the popularity of movies and TV shows on Netflix.
  • Designed a dashboard with 10 different visualizations representing various aspects of the dataset, incorporating a range of filters for duration, rating, genre, directors, and actors.
  • Provided valuable insights into the factors that influence viewer engagement and identified trends and patterns in the data.

Certification

  • Databricks Certified Data Engineer Associate
  • AWS Certified Cloud Practitioner
  • Programming Foundations with JavaScript, HTML and CSS – Duke University

Timeline

Data Engineer / Analyst

SureIT Solutions
07.2019 - 07.2021

Data Engineer / Analyst

SHA Associates
04.2018 - 07.2019

Master of Science in Information Technology -

Arizona State University - United States

Bachelor of Science in Computer Science -

Jawaharlal Nehru Technological University - Hyderabad, India
Niveditha Posani