Jahnavi Angati
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Jahnavi Angati Email & Phone Number

Manhattan Active WMS QA Lead at Cardinal Health
Location: San Antonio, Texas, United States 10 work roles 4 schools
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Current company
Role
Manhattan Active WMS QA Lead
Location
San Antonio, Texas, United States
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Jahnavi Angati is listed as Manhattan Active WMS QA Lead at Cardinal Health, a with 33135 employees, based in San Antonio, Texas, United States. AeroLeads shows a matched LinkedIn profile for Jahnavi Angati.

Jahnavi Angati previously worked as Senior Data Analyst at Jm Family Enterprises, Inc. and Social Media & Digital Marketing Manager at Paru Designs. Jahnavi Angati holds Master Of Science - Ms, Business Analytics from Texas Mccombs School Of Business.

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Cardinal Health

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Profile bio

About Jahnavi Angati

I'm passionate about transforming data into strategic insights and creating data-driven solutions that drive business impact. With a Master’s in Business Analytics from The University of Texas at Austin and a solid foundation in data engineering, analytics, and machine learning, I’ve contributed to large-scale projects across industries, from cloud migrations to predictive modeling and data visualization.At JM Family Enterprises, I optimized data processes, reduced latency, and ensured accurate data insights for stakeholders through SQL-based ETL and AWS cloud tools. My expertise in platforms like Redshift, AWS Glue, and Tableau empowers teams to make informed, data-driven decisions.Previously, I worked with IBM India and Bharat Dynamics Limited, where I engineered scalable solutions using AWS, Spark, and advanced SQL scripting. My focus on automation and data quality has helped improve system reliability, decrease processing time, and enhance decision-making across teams.My technical skills encompass:1. Languages & Tools: Python (Pandas, PyTorch, TensorFlow), R, SQL, Spark, MongoDB, Docker, GitLabData Visualization: Tableau, Power BI, Amazon QuickSight2. Cloud & Big Data: AWS (EC2, Lambda, Glue, Redshift), GCP, Databricks, Apache Airflow3. Machine Learning: XGBoost, CatBoost, SARIMA, Prophet, NLP techniques (sentiment analysis, text processing with NLTK, Transformers)Currently, I’m especially interested in data engineering and analytics, focusing on building scalable pipelines, optimizing data workflows, and leveraging big data technologies to drive impactful insights.

Current workplace

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Cardinal Health
Cardinal Health
Manhattan Active WMS QA Lead
Frisco, TX, US
Employees
33135
AeroLeads page
10 roles

Jahnavi Angati work experience

A career timeline built from the work history available for this profile.

Senior Data Analyst

Current

Florida, United States

- Utilized SQL to extract, transform, and load data from various sources into Redshift-based data warehouses, ensuring optimal storage and retrieval efficiency- Automated data processing tasks using GLUE ETL to streamline workflows, S3 events, and AWS Lambda functions, improving overall data processing speed and accuracy- Optimized SQL queries to enhance database performance and expedite data retrieval processes, contributing to faster decision-making and analysis- Leveraged Spark and Python to perform advanced data analysis, including data cleaning, transformation, and modelling, facilitating deeper insights and actionable recommendations- Executed AWS cloud migration projects, transferring historical data into the cloud environment and establishing automated processes for incoming data, ensuring scalability and accessibility- Conducted data pre-processing tasks to prepare raw data for analysis, including data cleaning, normalization, and transformation, ensuring data accuracy and consistency- Performed custom data extraction using SQL scripts, stored procedures, functions, views, and triggers, enabling tailored data retrieval based on specific project needs- Managed data extraction, transformation, and loading processes on AWS cloud platforms, utilizing AWS Glue, S3, and Lambda to automate data movement and processing tasks efficiently- Utilized Tableau to analyze data and generate insightful reports, enabling stakeholders to make data-driven decisions and identify actionable insights

Aug 2024 - Present

Social Media & Digital Marketing Manager

Current

Rajahmundry, Andhra Pradesh, India

- Content Strategy: Increased followers from 1K to 25K in 3 months by creating targeted, engaging content- Customer Insights: Analyzed engagement patterns to optimize content and boost interaction- Campaign Management: Ran successful campaigns to grow community engagement and drive sales.- Analytics Tools: Used Google Analytics and Instagram Insights to track performance and refine strategies

May 2023 - Present

Data Analytics Engineer - Capstone Project - Strategic Decisions Group

Austin, Texas, United States

- Examined and forecasted Texas electricity demand using SARIMA and Prophet models with up to 91.3% accuracy- Built XGBoost and CatBoost models to predict energy pricing, developing pricing strategies and risk management- Delivered insights optimizing energy use across $10M–$1B projects, reducing emissions and improving sustainability - Conducted comprehensive scenario analysis of energy pricing and supply strategies, enhancing client risk assessments

Jan 2024 - May 2024

Technology Specialist

Austin, Texas, United States

- Managed university databases to ensure data accuracy, security, and reliability, gaining expertise in SQL Server, data governance, and database management- Boosted operational efficiency by 30% through Python scripts that automated key workflows- Developed and deployed Tableau dashboards for real-time monitoring of academic performance, student engagement, and resource allocation, in collaboration with academic and administrative departments- Created and enforced data governance standards and compliance procedures, promoting ethical data use and consistent data management practices across projects- Updated and maintained department websites, providing reliable and timely information for faculty and students

Jul 2023 - May 2024

Data Engineer

Ibm

Hyderabad, Telangana, India

- Orchestrated AWS services for DISH’s 5G transformation, extending service coverage to over 20% of the U.S. population- Engineered a solution with Amazon Kinesis and Dynatrace, proactively reducing system downtime by 40%- Integrated Amazon Kinesis with AWS Lambda for real-time data streaming analytics, reducing data processing latency- Leveraged AWS S3 with Databricks, significantly increasing scalable data storage and ingestion speed by 15%- Improved decision-making by streamlining ETL processes with AWS Glue and Data Pipeline, reducing errors by 25%- Implemented training sessions on AWS data services for over 15 team members, increasing overall team productivity- Established exhaustive data quality checks and validation workflows in AWS Data Pipeline, reducing ETL errors by 15%- Automated data backup and recovery processes using AWS Backup, improving data security and compliance by 20%- Orchestrated complex ETL workflows using AWS Step Functions, reducing data processing time by 30%- Created interactive dashboards and reports using Amazon QuickSight, facilitating real-time data analytics and insights- Integrated Amazon CloudWatch and Logz.io for monitoring, developing custom alerts and dashboards, boosting systemreliability by 35%- Collaborated on the greenfield implementation of a 5G BSS transformation program while maintaining 100% master data accuracy by integrating records from Hansen Catalog into the product lifecycle database and setting up NPI (New Product Introduction) database for 2 new product cycles with the development team- Employed various AWS services such as EC2, S3, and ACM to bolster data infrastructure and strengthen security measures, and implemented Dynatrace for real-time monitoring and optimization of data processing workflows

Oct 2021 - May 2023

Data Engineer

Hyderabad, Telangana, India

- Utilized AWS tools (EC2, S3, Glue, Redshift, EMR, Spark, Databricks) to process and refine complex datasets, delivering actionable insights that improved organizational decision-making- Applied data science techniques like Logistic Regression, Linear Regression, and Time Series Analysis using Python(Pandas, NumPy) and Spark to solve complex data challenges and enhance data science workflows.- Streamlined database operations with SQL, integrated data seamlessly across platforms via AWS Glue, and maintained high data integrity and quality standards.- Leveraged SQL and NoSQL expertise with Amazon RDS and DynamoDB to optimize data operations and ensure robust data integrity.- Built interactive dashboards and visualizations with AWS QuickSight, Databricks notebooks, Power BI, and Tableau, empowering stakeholders with clear, insightful KPI tracking.- Applied Agile methodologies to manage data engineering projects effectively, including ETL/ELT pipeline creation, Docker container deployments, and CI/CD automation using Azure DevOps.- Improved data reliability and performance by conducting thorough data profiling, quality checks, and migrating enterprise data warehouses.

Jan 2020 - Aug 2021

Placement Coordinator

Gurgaon, India

- Experienced placement coordinator with a passion for connecting job seekers with their dream careers. - Skilled in job placement, career counselling, and program development, with a proven track record of success.- Committed to developing and maintaining relationships with employers and community organizations to create job opportunities for job seekers.

Jul 2018 - Dec 2020

Data Analyst - Intern

Hyderabad

Worked on a project called “Electronic Voting Machine” by using designing software called Xilinx ISE.It is designed to overcome the problems associated with the erstwhile practice of using ballot papers

May 2019 - Jul 2019

Data Visualisation Analyst - Intern

Vishakhapatnam Area, India

Project on “Wagon Number Detection,” which includes data collection, data analysis, and data visualisationHelps the Traffic department to continuously monitor inward rakes which are entered in VSP, to achieve the timely production of steel with minimum demurrage.

Dec 2018 - Jan 2019
Team & coworkers

Colleagues at Cardinal Health

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4 education records

Jahnavi Angati education

Master Of Science - Ms, Business Analytics

Coursework: Advanced Machine Learning, Data Science Programming, Optimization(Linear, Non-Linear and Integer Programming), Information.

Bachelor Of Technology - Btech, Electronics And Communications Engineering

Activities and Societies: Member of Hostel and mess committee | Placement Coordination | Student Engagement | Performing arts | Student.

FAQ

Frequently asked questions about Jahnavi Angati

Quick answers generated from the profile data available on this page.

What company does Jahnavi Angati work for?

Jahnavi Angati works for Cardinal Health.

What is Jahnavi Angati's role at Cardinal Health?

Jahnavi Angati is listed as Manhattan Active WMS QA Lead at Cardinal Health.

Where is Jahnavi Angati based?

Jahnavi Angati is based in San Antonio, Texas, United States while working with Cardinal Health.

What companies has Jahnavi Angati worked for?

Jahnavi Angati has worked for Cardinal Health, Jm Family Enterprises, Inc., Paru Designs, The University Of Texas At Austin, and Ibm.

Who are Jahnavi Angati's colleagues at Cardinal Health?

Jahnavi Angati's colleagues at Cardinal Health include Jerry Verduzco, Ola Wale, Carlos Meza, Nitish A., and Sheila Fernandes.

How can I contact Jahnavi Angati?

You can use AeroLeads to view verified contact signals for Jahnavi Angati at Cardinal Health, including work email, phone, and LinkedIn data when available.

What schools did Jahnavi Angati attend?

Jahnavi Angati holds Master Of Science - Ms, Business Analytics from Texas Mccombs School Of Business.

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