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haritha paladugu

@harithapaladugu

Data Engineer and Power BI Developer at Infoya, building healthcare data pipelines and analytics solutions for clinical and operational teams.

Canada

Message

At Infoya, I design ETL pipelines that bring healthcare records, billing, laboratory, and operational data into centralized analytics platforms. I build Power BI and Tableau reporting solutions, and develop Power Apps and Power Automate workflows for healthcare operations.

Previously, I developed data pipelines and BI solutions for banking and enterprise applications at Dye & Durham Corporation, and built data warehouse and reporting solutions at Religare Insurance. I work with SQL Server, Microsoft Fabric, Snowflake, and cloud data platforms, and hold the Microsoft Certified: Azure Data Engineer Associate certification.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer / Power BI Developer

Current

Infoya

Aug 2023 - Present (3 years 2 months)

Designed and implemented scalable ETL pipelines using SSIS, T-SQL, and Snowflake to integrate healthcare data into centralized analytics platforms. Built enterprise healthcare reporting and analytics solutions using Power BI, Tableau, and SQL Server.

SQL Server T SQL SSIS SSRS SSAS Power BI Tableau Snowflake PowerApps Power Automate SAS Kubernetes PostgreSQL GitHub Google Cloud Platform Healthcare Analytics Windows Server

MSSQL / Power BI Developer

Dye & Durham Corporation

Sep 2022 - Aug 2023 (11 months)

Designed and developed end-to-end data pipelines and reporting solutions using Microsoft Fabric, SQL Server, and Visual Studio for banking and enterprise applications. Built scalable big data processing pipelines using Apache Spark, Kafka, Hadoop, Azure, AWS, and GCP technologies.

Microsoft Fabric Power BI Snowflake Databricks Azure AWS GCP Apache Spark Kafka Hadoop SQL Server SSIS Informatica Terraform Azure DevOps GitHub Datadog Dynatrace PowerApps Jira

Data & BI Engineer

Religare Insurance

Jun 2018 - Feb 2021 (2 years 8 months)

Designed, developed, and deployed enterprise BI and data warehouse solutions supporting reporting, analytics, and operational data integration. Built ETL pipelines using SSIS, Azure Data Factory, PL/SQL, and T-SQL for integrating data from multiple sources.

SQL Server T SQL Pl SQL SSIS SSRS SSAS Azure Synapse Azure Data Factory Hadoop Hive Pig HBase Power BI PowerApps Power Automate SharePoint MongoDB PostgreSQL Excel Crystal Reports Visual Studio Windows

Education

Degrees, certifications, and relevant coursework

Thompson Rivers University

Master's, Data Science

Pursuing a Master's in Data Science with coursework in machine learning, applied mathematics, statistics, and data modeling.

GITAM University

Bachelor's, Computer Science

Completed a Bachelor's in Computer Science with coursework in software engineering, data structures, algorithms, operating systems, and discrete mathematics.