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About
Swathi Garudasu is a highly experienced Data Engineer and Analytics professional with extensive expertise in big data analytics, ETL solutions, and cloud-based data platforms. Currently serving as a Senior Lead Analytics Engineer at ADP, she has a strong background in data engineering, business intelligence, and cloud technologies. Swathi has worked extensively with Azure Data Bricks, Azure Data Lake, Azure Blob Storage, and Azure SQL, utilizing tools like Spark SQL, Python, Scala, and R for data processing and predictive modeling. She has a proven track record of developing robust ETL solutions for OLTP, OLAP, and ODS systems, optimizing data transformation processes, and enhancing data accessibility for analytics and reporting. Before joining ADP, she held senior positions at Charles River Laboratories and Microsoft, where she played a critical role in migrating Power BI reports to live connections, implementing row-level security, building complex DAX measures, optimizing data quality rules, and orchestrating Azure Data Factory (ADF) pipelines to automate ETL processes. Swathi also has deep experience with Microsoft SQL Server, business intelligence tools like Power BI, and various reporting solutions, having developed complex reports using SSRS and Power BI with OLTP and OLAP databases. Her tenure at People Tech Group and HCL Technologies further solidified her expertise in database design, T-SQL, stored procedures, performance tuning, database migration, and ETL package development using SSIS and Azure Data Factory. With a strong foundation in data modeling and administration, she has worked on designing and developing OLAP cubes, implementing data governance strategies, and leveraging SQL Server Profiler for query optimization. Additionally, she has experience with Google Analytics 4 for web activity analysis, Power Apps integration with Power BI, and developing CI/CD pipelines for analytics solutions. She holds a Bachelor of Science in Computer Science from St. Francis College for Women and has further honed her technical skills through certifications, including Tableau Essential Training. Swathi has been recognized as a judge for the Globee Awards for Women in Business, showcasing her leadership and contributions to the tech industry. Her expertise in cloud computing, big data, and analytics, combined with her hands-on experience in database management and business intelligence, makes her a highly skilled professional in the field of data engineering.
Experience in handling Development projects and Production Support Projects & working in Agile Environment
Experience working with Azure Data Bricks to pull data from different sources like Azure Blob storage, Azure Data Lake using Scala, Processed data using Spark SQL, Python, R (Predictive models) and load it to Azure SQL/Azure Datawarehouse/Azure Data Lake/Azure Storage.
Worked with Microsoft SQL, Business Intelligence and dealt with various development and administrative activities.
Experience in Developing Robust ETL Solutions which are used for developing/maintenance of OLTP, OLAP and ODS Data Solutions.
Experience in Writing Scope Scripts for loading the data from COSMOS Server to Relational Database for use in Reporting
Experience in working with PowerBI for creating PowerBI reports and dashboards which present data from Relational or Tabular Models
Skills & Expertise
python
SPARK SQL
Cosmos DB
Power BI
SSIS
Big Data Analytics
Microsoft SQL Server
Business Intelligence
Predictive Modeling
Data modeling
R language
Scala
Relational Databases
Performance Tuning
Database Migration
cloud technologies
SQL Server Analysis Services (SSAS)
Azure Data Lake
Data engineering
ETL solutions
Azure Data Bricks
Azure Blob Storage
Azure SQL
Predictive modeling
OLTP systems
OLAP systems
ODS systems
Data transformation
Data accessibility
Row-level security
DAX measures
Data quality rules
Azure Data Factory
SSRS reports
T-SQL
Stored procedures
OLAP cubes
Data governance
SQL Server Profiler
Google Analytics 4
Power Apps integration
CI/CD pipelines
Agile environment
Reporting dashboards
Research Interests
Computer Science
Big Data Analytics
Data Engineer
Predictive Modeling
ETL solutions
Cloud-based data platforms
Business intelligence
Data modeling
Data transformation
OLTP
OLAP
and ODS systems
Azure Data Bricks
Azure Data Lake
Azure Blob Storage
Azure SQL
Azure Data Factory
Microsoft SQL Server
Power BI reports and dashboards
Row-level security implementation
DAX measures optimization
Data quality rules
Database design and migration
T-SQL and stored procedures
Performance tuning
OLAP cubes development
Data governance strategies
Google Analytics
Agile development
Connect With Me
Experience
Senior Lead Analytics Engineer
Senior Analytics Engineer
- ● Developed Power Apps utilizing Azure SQL Server as the backend, seamlessly integrated into Power BI Reports to facilitate CRUD operations. ● Conducted in-depth Data Analysis using Google Analytics 4, generating comprehensive Power BI reports with GA4 as the backend, encompassing various metrics related to user web activity. ● Implemented data transformation queries to refine and structure raw data for enhanced insights and reporting accuracy.
Software Engineer II
- ● Enhanced Customer experience by leading projects which involved migrating Power BI Reports from Import Model to Live Connection and implementing Row Level Security ● Built Complex DAX measures to show Inventory Burn down, Moving Average, forecast forward which will help business make informed decisions. ● Optimized transformations and data quality rules based on the rhythm of business and telemetry to enable the faster and accessible data assets for analytics and data science to build models for producing predictions. ● Developed CI-CD Release Pipelines for AAS to publish from Repo. This has helped eliminate Ad-hoc manual deployments by Developers. ● Orchestrated Azure Data Factory (ADF) pipelines to automate the seamless flow of data, ensuring efficient and reliable ETL (Extract, Transform, and Load) processes.
Software Engineer
- ● Created complex reports in SSRS & Power BI with data from OLTP & OLAP databases ● Experience in writing MDX queries & Measures in DAX ● Create pipelines and schedule activities using Azure Data Factory. ● Design and maintain OLTP Databases, write queries using T-SQL, create and manage various database objects like Stored Procedures, Views, Functions, Indexes, Logins, and Triggers etc. ● Expertise in setting up ETL packages using SSIS & Azure Data Factory which fetches data from various sources like OLAP/ODS/SQL to SQL server/Excel/Access/Text file destination using various transformations, for database maintenance Plans. ● Write Kusto (KQL) and Cosmos Queries (SCOPE) and publish the data into Power BI
Technical Lead Engineer
- • Experience in designing database, creating the logical and physical Design of database using tools Erwin data Modeler and Microsoft Visio • Experience in writing queries using T-SQL , create and manage various database objects like Stored Procedures, Views, Functions, Indexes, Logins, Triggers etc. • Experience in Migrating the Database objects , Databases from SQL Server 2000/2005 to 2005/2008 • Experience in Database Administration Activities like Backup and Restore, implementing security, Change data Capture and setting up Linked Server • Experience in scheduling the Rebuilding & Reorganizing of Indexes based on the Index fragmentation percentage. • Experience in using SQL Server Profiler for identifying slow running queries and tuning • Expertise in setting up ETL packages which fetches data from various sources like OLAP/ODS/SQL to SQL server/Excel/Access/Text file destination using various transformations. • Experience in providing Logging, Error handling by using Event Handler and Custom Logging for SSIS Packages. • Experience in Designing and Developing OLAP Cube, Facts & dimensions using Snow flake Schema , Star Schema and scheduling the SSAS Cube Processing using SSIS • Experience in writing and Submitting Scope Scripts to COSMOS Virtual Clusters for data loading which are later transformed, loaded into Database for use in Reports.
SQL Developer
- I have worked for P&G and Internal Projects at Vertex. The Work includes Core Activities like Designing Database Using Erwin Data Modeller Tool/ Viso by reading the Business Requirement Document, Generate Schema and prepare various database objects , Create Technical Specification document,closing the bugs raised by QA, Maintain the database, ensure for data availability, prepare reports using SSRS, and involved in timely release of the application.
Education
St.Francis College for Women
Symbiosis Institute of Technology, Symbiosis International (Deemed University)
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