Manav Khurana
Member of Technical Staff @Salesforce
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WORK HISTORY
Member of Technical Staff @Salesforce
Hyderabad, IN
EDUCATION
Chitkara University
Bachelor of Engineering (BE), Computer Science
ABOUT MANAV KHURANA
Performance Enthusiast Lead Software Engineer with end-to-end experience optimising large-scale data integration, PDO and ELT pipelines across various ecosystems like Azure, AWS, GCP and OCI. Having been part of the Connectivity engineering stack since day one, I’ve worked across a wide spectrum of high-use connectors including S3, Redshift, Snowflake, ADLS Gen2, Synapse and many more—ensuring they operate reliably, efficiently and consistently at scale.My core strength lies in analysing and improving the performance characteristics of cloud-scale connector flows—execution-path profiling, throughput tuning, API behaviour analysis, multi-cloud benchmarking and non-functional testing. As part of the IDMC Data Integration – Connectors Team, I’ve handled the end-to-end performance charter for Connectivity and supported cross-ecosystem functional validation where multiple connectors interact, requiring holistic knowledge across widely used connectors such as S3, Snowflake, ADLS Gen2, Synapse and more. I work across INFACore, INFAConnect, Elastic RTE and the broader connector ecosystem to strengthen platform efficiency and customer experience.Alongside performance engineering, I’ve built and enhanced internal tooling, automation frameworks, regression systems and observability workflows that help engineering teams measure and maintain performance more effectively. Earlier experience with DevOps-centric work—containerised environments and informatica products—gives me a holistic view of how cloud services behave in real-world scenarios.At my core, I enjoy solving complex, deeply technical performance problems and building cloud-scale systems that remain fast, stable and predictable—no matter the data shape or ecosystem they run on.Technical Expertise Programming - Java, Linux Shell Scripting, SQLHighly skilled in Performance Engineering Tools: Grafana (Resource Monitoring), JMeter (API Performance Testing), Yourkit Profiler (CPU / Memory Profiling and analysis), Kibana (Log Analysis).Additionally I have expertise in Heap and Thread Dump Analysis.Cloud Platforms: Azure (VM, ADLS Gen2, Blob Storage, AKS, Fabric), AWS (EC2, RDS, S3, EKS), Google Cloud Platform (GCS, BigQuery), Oracle Cloud, and Databricks.Data Technologies: ELT Tools (Informatica Intelligent Cloud Services (IICS), Azure Data Factory, ADF, Data Warehouses (Snowflake, Databricks Delta, Azure Synapse, AWS Redshift), NoSQL (MongoDB, CosmosDB, DynamoDB)Related Technologies Docker, Basic Scala, DBGEN (Data Generation Utility)
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