Sindu G Email & Phone Number

Cincinnati, Ohio, United States

Project: Oracle Cloud Migration for Financial SystemMigrated a legacy financial system to Oracle Cloud SaaS, improving scalability and compliance.Designed a phased strategy using Oracle Cloud Infrastructure (OCI) and developed ETL processes with ODI and GoldenGate.Utilized SQL and PL/SQL for data transformations; conducted UAT and provided training.Technologies: OCI, ODI, GoldenGate, SQL, PL/SQLProject: Cloud-Based Financial Analytics on SnowflakeBuilt a financial analytics platform on Snowflake, integrating data via Snowpipe and AWS Lambda.Created optimized data models and used SQL for calculations; developed Power BI dashboards.Technologies: Snowflake, Snowpipe, AWS Lambda, SQL, Power BIProject: Efficient Data Integration and WarehousingDeveloped ETL architecture using IBM DataStage and implemented change data capture.Conducted data profiling and optimized job performance.Technologies: IBM DataStage, SQLProject: On-Premises to Azure Migration for E-Commerce PlatformLed migration to Microsoft Azure using Azure Migrate for VMs and databases.Created ETL pipelines with Azure Data Factory and deployed the app on Azure App Services.Technologies: Azure Migrate, Azure Data FactoryProject: CI/CD Pipeline for Data Pipeline AutomationCreated a CI/CD pipeline for data deployments using Git and Jenkins.Implemented automated testing and monitored performance with AWS CloudWatch.Technologies: Git, Jenkins, Apache Airflow, AWS CloudWatch

Texas, United States

Project: On-Premises to Azure Migration for E-Commerce PlatformLed migration to Microsoft Azure, enhancing scalability and performance.Developed a strategy with Azure Migrate for seamless VM and database transfer.Created ETL pipelines using Azure Data Factory for SQL Database and Blob Storage.Deployed the web app on Azure App Services with security via Active Directory and Key Vault.Technologies: Azure Migrate, Data Factory, SQL Database, Blob Storage, App ServicesProject: CI/CD Pipeline for Data Pipeline AutomationDeveloped a CI/CD pipeline for automated data deployments, improving ETL efficiency.Used Git for version control and Jenkins for continuous integration.Implemented automated testing and deployed pipelines with Apache Airflow.Technologies: Git, Jenkins, Apache Airflow, AWS CloudWatchProject: Data Integration and Analytics (Data stage ETL process with IBM DataStage )• Tools and Technologies: IBM DataStage, SQL, Databases, Analytics Tools, Encryption and External APIs.

Massachusetts, United States

Project: CRM Data IntegrationIntegrated customer data into a CRM using AWS Glue for ETL and Amazon RDS.Ensured data quality with PySpark and implemented a star schema for analytics.Tech: AWS (Glue, RDS), Apache Spark, SQL, TableauProject: Data Warehouse for Business IntelligenceDesigned a scalable Amazon Redshift warehouse, consolidating CRM and ERP data with AWS Glue ETL.Achieved 30% faster reporting with star schema optimization and automated checks via AWS Lambda.Tech: AWS (Redshift, Glue), Apache Spark, SQLProject: Mobile App Data AnalyticsStreamed real-time data from a mobile app using Python and Apache Kafka, processing with Apache Spark.Increased pipeline efficiency by 30% and user engagement by 15% through Tableau dashboards.Tech: Python, Kafka, Spark, Tableau

India

• Designed and implemented data pipelines using Azure Data Factory and Azure Logic Apps.• Ensured data quality and consistency with Azure Data Factory and Data Flow.• Utilized Azure Data Lake Storage, Azure SQL Database, and Azure Cosmos DB for data storage. Implemented data retention policies with Azure Purview. Leveraged Azure Databricks and Azure Synapse Analytics for data processing using PySpark and T-SQL. Developed ETL processes with Azure Data Factory Data Flow and Logic Apps.• Ensured data security with Azure Key Vault and access controls using Azure Active Directory.• Maintained compliance with Basel III and Dodd-Frank through continuous monitoring with Azure Policy and Security Center.• Utilized Azure Machine Learning for predictive modeling with Python and R.• Created real-time dashboards and reports with Power BI and Azure Analysis Services.• Designed for scalability using Azure Kubernetes Service and Azure Functions. Conducted performance tuning with Azure Synapse Analytics Performance Optimizer. Implemented monitoring with Azure Monitor, Application Insights, and Log Analytics.• Set up alerts for anomaly detection and security breaches. Documented pipelines and configurations using Azure DevOps and Azure Wiki. Conducted training sessions using Azure Learning Paths. Collaborated with cross-functional teams using Azure DevOps.• Ensured regulatory compliance with Azure Policy and Blueprints

India

Project: API Integration and Performance TestingAutomated API tests with Rest Assured, validating functionality, performance, and security; integrated into the CI/CD pipeline.Created JMeter scripts for load and stress testing, monitoring system performance during tests.Tech: Rest Assured, Java, TestNG/JUnit, Maven, Git, JenkinsProject: ETL Automation for Sales Data VisualizationDeveloped ETL processes to extract and cleanse sales data using Apache NiFi and Python, ensuring data quality.Built interactive dashboards in Tableau and Power BI to visualize sales trends and collaborate with stakeholders for requirements.Tech: Apache NiFi, Python, Tableau, Power BI, AWS