Maneesh Peddy

Leading the development of an advanced data engineering platform designed to collect, ingest, and analyze data from various Hitachi Storage Systems and Services. Responsibilities include spearheading platform development on Azure Kubernetes Service (AKS), managing a team of 10 data engineers and data scientists, and designing robust ETL pipelines leveraging PySpark, SQL, and NoSQL databases. Built interactive dashboards using Incorta and Highcharts.

Key role in data warehousing activities, including schema design and SQL data modeling, resulting in materialized models in Snowflake and Redshift. Optimized PySpark queries to process large-scale claims data. Built custom data transformation workflows using Python and utilized Tableau to develop advanced claims detail dashboards.

Designed and developed a comprehensive SQL data model to track user activity and course block changes. Leveraged PySpark to process large-scale user activity data. Built Tableau dashboards to analyze course content effectiveness and identify potential leads for subscription plans.

Led the migration of business intelligence solutions from SAP Business Objects to the Azure environment using Azure Data Factory. Employed PySpark to process and transform large volumes of asset protection data. Built Power BI reports and conducted rigorous validations against existing SAP BODS reports.

Designed and implemented a comprehensive BI solution from scratch to track application status and feature development. Leveraged PySpark to process large-scale compliance data. Automated compliance processes using Python scripts, resulting in a 60% time saving in data preparation.

Pioneered analytics projects to build an ECRM for the AMCC business unit using Salesforce. Created visually impactful dashboards in Salesforce Einstein Analytics and Tableau, resulting in a 30% decrease in case duration and a 12% increase in closed Won percentage.

Developed proof-of-concept image classifier models using CNNs to track construction phases. Conducted data quality assessments and leveraged AWS Textract and Alteryx to extract construction activity data from PDF files. Developed and automated building permit analysis pipelines.

Supported program managers by developing strategic models and scripts integrating R, SQL, and QlikView. Forecasted savings by simulating supply chain metrics and developed an SQL-Query based approach to help technical teams with hardware needs.

Completed coursework in Predictive Analytics, Advanced Database Management Systems, Hadoop, and Spark.