Santosh Gore

Salesforce, Informatica PowerCenter and MuleSoft professional with 18+ years of experience in application design and development across Salesforce, MuleSoft, Informatica PowerCenter (ETL), Informatica Intelligent Cloud Services (IICS), Databricks, Microsoft SQL Server. Proven expertise in end-to-end software development from requirement analysis to design, coding, debugging, documentation, deployment, and maintenance. Skilled in building scalable integrations using MuleSoft Any point Platform, including RAML-based APIs and batch integrations with connectors such as HTTP, Database, Salesforce, and File. Extensive experience in data integration between on-premises and cloud systems, leveraging Informatica Cloud and PowerCenter for high-performance ETL solutions. Design and develop custom applications using Apex, Visualforce, and Lightning Web Components (LWC). Configure standard Salesforce features like objects, fields, page layouts, record types, validation rules, and flows. Customize user interfaces and automate workflows using Process Builder and Flow Builder. Perform data migration and transformation using Data Loader, Workbench, or custom scripts. Strong background in Salesforce data integration, SQL Server development. Adept at managing production environments, including monitoring and resolving job failures, ensuring system stability and data accuracy. Experience in integrating data to/from on-premises database and cloud-based database solutions using Informatica Intelligent cloud services. Designed, developed, and implemented ETL processes using IICS Data integration. Excellent communicator and team leader, with a track record of mentoring team members and collaborating across business and technical teams. Certified in MuleSoft 3.9. Advanced PL/SQL programming for stored procedures, triggers, and performance-tuned queries. Experienced Databricks Developer in designing and implementing big data solutions using Apache Spark, Delta Lake, and cloud platforms like Azure and AWS. Proven expertise in building scalable data pipelines, optimizing performance, and enabling advanced analytics for enterprise clients. Strong background in SQL and data engineering best practices.

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