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Anusha Muppana

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

Canada

4+ years of work experience

TD
Apr 20251 yr 2 mosPresent

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.
Mcap Financials
Feb 20241 yr 2 mosMar 2025

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.
Tech Neon Solutions
Sep 20201 yr 9 mosMay 2022

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

Conestoga College

20222 yrs2024
St. Francis College for Women

Bachelor of Science - BS, Computer Science

St. Francis College for Women

20183 yrs2021

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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