---
title: "Anusha Muppana - Data Analyst/Engineer in Canada | Tal"
description: "Meet Anusha Muppana, Data Engineer | Azure Data Factory | Databricks | DBT | Snowflake | Fabric | Python | SQL based in Canada."
image: "https://tal.club/meet/anusha-muppana/share-image"
---

# Anusha Muppana on Tal

## Headline

Data Engineer \| Azure Data Factory \| Databricks \| DBT \| Snowflake \| Fabric \| Python \| SQL

## About

Detail\-oriented Data Engineer with 4\+ years of experience designing and implementing end\-to\-end data pipelines on Azure and AWS platforms\. Strong expertise in SQL, Python, and modern data stack tools like Azure Data Factory, Databricks, DBT, and Snowflake Fabric to enable data\-driven decision making\. Proven track record in data modeling, pipeline optimization, and automating ETL processes for scalable enterprise solutions\.

## Location

Canada

## Work experience

Data Analyst/Engineer at TD, Apr 2025 \- Present · 1 yr 2 mos, Toronto, Ontario, Canada, • Built end\-to\-end data pipelines using Azure Data Factory to ingest data from SQL Server, Salesforce, and flat files into Azure Data Lake\. • Designed Medallion Architecture \(Bronze–Silver–Gold\) with Databricks \(Python/PySpark\) to standardize and enrich raw data\. • Implemented DBT models for data transformation and business logic automation within Fabric environment\. • Integrated Snowflake Fabric for centralized data storage and query performance optimization\. • Automated job triggers and dependency flows using ADF pipelines and Azure DevOps CI/CD\. • Developed monitoring scripts in Python for data quality and pipeline failure alerts\. • Optimized queries and partition strategies in Databricks to reduce cost and runtime by 30%\. • Delivered validated datasets for reporting teams to build executive dashboards in Power BI\.

Power BI developer at Mcap Financials, Feb 2024 \- Mar 2025 · 1 yr 2 mos, Toronto, Ontario, Canada, • Developed ETL solutions using ADF and SQL stored procedures to integrate sales and inventory data\. • Built interactive Power BI dashboards for sales performance and forecast analytics\. • Used Python and DBT for data cleansing, aggregation, and business rule transformations\. • Automated data refresh schedules using ADF and Power BI service\. • Created custom DAX measures and data models to enable self\-service BI\. • Collaborated with business teams to translate requirements into scalable ETL solutions\. • Optimized ETL runtime through parallel processing and incremental loads\. • Deployed secure data flows across Azure storage layers ensuring compliance and data governance\.

BI analyst at Tech Neon Solutions, Sep 2020 \- May 2022 · 1 yr 9 mos, India, • Designed and implemented enterprise Data Warehouse using SQL Server and Snowflake\. • Built Star Schema and Snowflake Schema models for finance and claims domains\. • Developed ETL workflows using SSIS and ADF for dimensional data loading\. • Established data quality checks and validation frameworks using Python scripts\. • Created Fabric Data Models to simplify data access for BI teams\. • Performed query optimization and indexing to reduce warehouse costs by 25%\. • Migrated legacy ETL processes to ADF and Snowflake for scalability and automation\. • Documented data lineage, architecture diagrams, and governance rules for stakeholders\.

## Education

Conestoga College

Bachelor of Science \- BS, Computer Science, St\. Francis College for Women

[View the original profile](https://tal.club/meet/anusha-muppana)

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