Sandeep Reddy

About Sandeep Reddy

I am a Kinaxis RapidResponse Consultant with over 5 years of experience helping…

Experience

1. Senior Etl Developer

   Charter Communications

   Nov 2022 — Present

   Designed and implemented scalable data ingestion pipelines using Azure Data Factory, efficiently ingesting data from diverse sources such as SQL databases, CSV files, and REST APIs. Developed robust data processing workflows leveraging Azure Databricks and Spark for distributed data processing and transformation tasks. Acted as a key liaison between engineering teams and business stakeholders to gather reporting requirements, ensure data quality, and deliver domain-specific lakehouses aligned with business capabilities. Partnered with client-side architects and product owners to co-design lakehouse data models using Microsoft Fabric, ensuring business alignment and governance compliance. Integrated Fivetran connectors to automate data ingestion from third-party SaaS platforms into Snowflake, reducing manual ETL overhead and enabling near real-time updates to reporting datasets. Monitored and optimized Fivetran pipelines by fine-tuning sync frequencies and handling schema drift, ensuring data integrity and minimizing latency across telecom usage analytics workflows. Designed and implemented Data Vault 2.0 models in Microsoft Fabric lakehouse for telecom usage and billing domains, enabling scalable historization and business key traceability. Built dynamic ingestion pipelines in ADF and Databricks to load raw data into Data Vault structures, applying hashing for business keys and metadata-driven loading. Implemented Microsoft Fabric’s lakehouse architecture using OneLake to unify data storage across domains, enabling seamless integration with Power BI and reducing data duplication. Experience developing Spark applications using Spark SQL in Databricks for data extraction, transformation, and aggregation from multiple file formats for Analyzing and transforming the data to uncover insights into customer usage patterns.

Education

• Guru Nanak Institutions(GNI)

  Bachelor of Technology - BTech, Computer Science

• The University of Texas at Arlington

  Master's degree, Computer Science