Chethana Kuchana
Verified Expert in Engineering
Data Analyst and Developer
Allen, TX, United States
Toptal member since April 29, 2026
Chethana is a data and analytics professional with 7+ years of experience in Azure, Databricks, Alteryx, Power BI, and Tableau. She designs end-to-end data pipelines, lakehouse architectures, and client-facing dashboards that turn complex multi-source data into trusted insights. Known for SQL expertise, data quality practices, and close stakeholder collaboration, she delivers reliable, scalable solutions that bridge data engineering and analytics.
Portfolio
Experience
- SQL - 7 years
- ETL Tools - 5 years
- Azure - 4 years
- ADF - 3 years
- Alteryx - 3 years
- Datbricks - 3 years
- Azure Databricks - 3 years
- Azure Data Lake - 3 years
Preferred Environment
ADF, Azure Databricks, SQL, Azure, ETL Tools, Python, Data Engineering, Data Analysis, Microsoft Power BI, Tableau, Microsoft Excel, Analytics, PySpark, Azure Synapse, Azure Synapse Analytics, PostgreSQL, Snowflake, Oracle, ETL Pipelines, Medallion Architecture, Oracle ADF, Cloud Architecture, MySQL, Database Architecture, Query Optimization, Performance Tuning, Data Governance, Star Schema, SQL Performance, Amazon S3 (AWS S3), Amazon Web Services (AWS), Databricks, MongoDB, AWS Database Migration Service (DMS), Scripting, Architecture, Azure Blob Storage, Scalability, Unity Catalog, Microsoft Access, Visual Basic for Applications (VBA), Artificial Intelligence (AI), Data Transformation, Data Validation, Data Marts, Database Schema Design, Apache Spark, Cloud, Customer Data Platform (CDP), Dimensional Modeling, Event-driven Architecture, Audits, Dashboards, Data Cleaning, Monitoring
The most amazing...
...project I've worked on involved automating TD Bank's analytics with Azure pipelines and Alteryx, cutting processing time by 40% and saving 40 hours weekly.
Work Experience
Senior Data Analyst
TD Bank Group
- Built Azure-plus-Alteryx ETL workflows that automated manual data operations and saved approximately 40 hours per week.
- Designed and orchestrated end-to-end Azure Data Factory pipelines that ingested data from 4+ source types (SQL Server, REST APIs, SFTP, flat files) into ADLS Gen2.
- Implemented Databricks PySpark transformations and tuning strategies that reduced banking data job runtimes by approximately 25%.
- Productionized CI/CD across development, UAT, and production using Azure DevOps YAML pipelines, ARM templates, and Databricks deployment patterns to improve release reliability.
- Built Power BI dashboards on Delta tables with DAX measures to track null rates, row counts, schema drift, and freshness SLAs, enabling teams to catch and fix data quality issues before they impacted downstream reporting.
Software Engineer
First American Financial
- Developed SQL Server database objects (tables, views, stored procedures, functions, triggers) and complex T-SQL logic to support high-volume title and settlement workflows.
- Optimized T-SQL queries on SQL Server 2008 R2/2016 using joins, indexes, CTEs, and temp structures to improve reporting and transactional performance.
- Migrated data from on-premise systems and flat files to AWS RDS/MySQL cloud environments using predefined business rules and controlled cutover processes.
- Executed regression testing through Postman/Newman in Azure DevOps pipelines and performed root-cause analysis to reduce recurring production defects.
Java Engineer
Blackbuck
- Implemented Spring MVC-based application features and Hibernate data mappings that supported printer-device and firmware workflow requirements.
- Developed back-end integrations with MySQL and front-end modules using JSP, HTML5, JavaScript, and jQuery to deliver end-to-end functionality.
- Created unit and integration test coverage using JUnit 3.8 and automated regression flows with Python scripts to improve release confidence.
- Established CI/CD and debugging discipline using Jenkins, Log4j, Jira, and SVN to strengthen sprint delivery consistency and production traceability.
Experience
Daily Reconciliation Exception Tracker
Executive KPI Dashboard with Integrated Data Quality Monitoring
Skills
Libraries/APIs
PySpark, jQuery
Tools
Microsoft Excel, Microsoft Access, GitHub, Microsoft Power BI, Postman, Jenkins, Tableau
Languages
SQL, Python, Snowflake, Visual Basic for Applications (VBA), Transact-SQL (T-SQL), HTML5, JavaScript
Paradigms
ETL, Business Intelligence (BI), Dimensional Modeling, Event-driven Architecture
Storage
MySQL, Data Pipelines, Database Architecture, SQL Performance, Data Validation, SQL Server Management Studio (SSMS), Databases, PostgreSQL, Amazon S3 (AWS S3), MongoDB
Frameworks
ADF, Data Lakehouse, Spark, Oracle ADF, Apache Spark, Jakarta Server Pages (JSP)
Platforms
Alteryx, Azure, Databricks, Azure Data Lake Storage, Azure Synapse Analytics, Oracle, Amazon Web Services (AWS), Docker, AWS IoT, Azure Synapse
Other
Data Engineering, Data Analysis, Data Modeling, Data Architecture, Data Analytics, Analytics, Query Optimization, Performance Tuning, Architecture, Scalability, Artificial Intelligence (AI), Data Transformation, Azure Data Lake, ETL Tools, Datbricks, Data Visualization, Data Management, Data Quality, Data Warehousing, Metadata, Azure Data Factory (ADF), ELT, Delta Lake, Ad-hoc Reporting, Data Warehouse Design, AI-assisted Development, ETL Pipelines, Medallion Architecture, Data Migration, Cloud Architecture, Data Governance, Star Schema, Scripting, Azure Blob Storage, Unity Catalog, Data Marts, Database Schema Design, Cloud, Customer Data Platform (CDP), Audits, Dashboards, Data Cleaning, Monitoring, Finance, Financial Data, Azure Databricks, JUnit3.8, Log4j, CI/CD Pipelines, ETL Workflow, Data Cleansing, Join and Union Logic, Rule-Based Exception Handling, Excel/CSV Integration, SQL Validation Queries, Power BI Reporting, BI Reports, AWS Database Migration Service (DMS), DAX, Key Performance Indicators (KPIs)
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