[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-171563-105":3,"detail-sidebar-cat-1-en-105":81,"doc-detail-171563-en":126},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","jayendra-p-arimisetti-senior-data-engineer-summary","JAYENDRA P ARIMISETTI - Senior Data Engineer Summary","","Senior Data Engineer with 12+ years of enterprise experience delivering scalable cloud data platforms across healthcare, finance, and public sector. Architected a multi-domain Snowflake warehouse on Azure, migrated 50TB from on-prem to Azure using Azure Data Factory pipelines, and automated CI/CD provisioning for reliable deployments. Improved performance by reducing query latency by 30%, enabled sub-second ingestion, and ensured reporting fidelity by reconciling 100+ KPIs. Implemented zero-trust security using Azure Key Vault, RBAC, and data masking to meet compliance needs.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/template/","Template",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/template/resumes/","Resumes",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/template/jayendra-p-arimisetti-senior-data-engineer-summary/171563/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/jayendra-p-arimisetti-senior-data-engineer-summary/171563.png","ImageObject",442,249,{"name":42,"@type":43},"Miles","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/vnd.openxmlformats-officedocument.wordprocessingml.document","2026-10-05","2026-09-01",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",5,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What are Jayendra P Arimisetti’s core data engineering strengths?","Question",{"text":63,"@type":64},"He specializes in enterprise data engineering and architecture using Snowflake, Azure Data Factory, Databricks, Spark, PySpark, and strong SQL/database optimization.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How did he improve performance and migration outcomes in his Snowflake/Azure project?",{"text":68,"@type":64},"He migrated 50TB from on-prem to Azure, built a modular Medallion model, and reduced query latency by 30% through warehouse optimization like auto scaling, clustering keys, and micro partitioning.",{"name":70,"@type":61,"acceptedAnswer":71},"What security practices and governance approaches does he emphasize?",{"text":72,"@type":64},"He embeds zero-trust controls using Azure Key Vault, RBAC, secure views, column-level masking, encryption, and compliance alignment with requirements such as PCI DSS and HIPAA.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},171563,1790380121,{"code":4,"msg":82,"data":83},"success",[84,89,93,98,103,108,113,118,122],{"id":85,"doc_module":22,"doc_module_name":25,"category_name":86,"show_sort_weight":87,"slug":88},11,"Presentations",90,"presentations",{"id":90,"doc_module":22,"doc_module_name":25,"category_name":29,"show_sort_weight":91,"slug":92},12,80,"resumes",{"id":94,"doc_module":22,"doc_module_name":25,"category_name":95,"show_sort_weight":96,"slug":97},14,"Invoices",70,"invoices",{"id":99,"doc_module":22,"doc_module_name":25,"category_name":100,"show_sort_weight":101,"slug":102},15,"Posters",60,"posters",{"id":104,"doc_module":22,"doc_module_name":25,"category_name":105,"show_sort_weight":106,"slug":107},16,"Social Media",50,"social-media",{"id":109,"doc_module":22,"doc_module_name":25,"category_name":110,"show_sort_weight":111,"slug":112},17,"Forms",40,"forms",{"id":114,"doc_module":22,"doc_module_name":25,"category_name":115,"show_sort_weight":116,"slug":117},18,"Letters",30,"letters",{"id":119,"doc_module":22,"doc_module_name":25,"category_name":120,"show_sort_weight":55,"slug":121},21,"Paper Templates","papers-templates",{"id":123,"doc_module":22,"doc_module_name":25,"category_name":124,"show_sort_weight":4,"slug":125},158,"General","general-158",{"code":4,"msg":82,"data":127},{"doc_id":79,"user_id":128,"nickname":42,"user_avatar":129,"doc_module":22,"category_id":90,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":30,"language":135,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":12,"update_tm":139,"read_time":22},13056703019404,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","JAYENDRA P ARIMISETTI\njayendra270@gmail.com | (601) 451-4159 | Georgetown, Texas\nSenior Data Engineer\nSUMMARY\nSenior Data Engineer with 12+ years of experience in enterprise data engineering across healthcare, finance, and public sector. Built a multi domain Snowflake warehouse that cut query latency by 30% and migrated 50TB of on prem data to Azure, using Azure Data Factory pipelines and CI/CD automation. Recognized for embedding zero trust security with Azure Key Vault and RBAC, delivering reliable, scalable cloud data platforms.\nSKILLS\nData Engineering & Architecture: Snowflake, Azure Data Factory, Data Engineering, Database Optimization, Azure Data Lake Storage, Databricks, Hadoop, Spark, PySpark, Hive\nData Integration & ETL: ETL, REST APIs, SSIS, Informatica, Matillion\nDatabases & Querying: SQL, Azure SQL Database, SQL Server, Oracle, MySQL, PostgreSQL, Azure SQL\nCloud & DevOps: Azure, Kubernetes, Microsoft Azure, Azure Storage, Azure Monitor, AWS, GCP, Azure DevOps, GitHub, Terraform, Docker\nData Security & Governance: Data Masking, Delphix, RBAC, IAM, Data Encryption, Compliance\nData Modeling & Architecture: Data Warehousing, Data Marts, Data Lakes, Data Governance, Data Quality\nProgramming & Tools: Python, Java, C#, Azure Functions, Azure Logic Apps, PowerShell\nAgile & Collaboration: Agile, Scrum, Jira, Confluence, Version Control\nData Replication & Synchronization: Data Replication, Data Synchronization, Change Data Capture\nWORK EXPERIENCE\nDelta Dental\tSan Francisco, CA\nSenior Data Engineer\tOct 2023 - Present\n• Architected enterprise Snowflake warehouse on Azure, integrating Azure SQL Database sources to deliver unified analytics across finance, claims, and member domains.\n• Designed modular Medallion data models spanning Raw, Curated, and Published layers, enabling automated data lineage and governance.\n• Led end to end Snowflake deployment, automating environment provisioning, schema creation, and pipeline orchestration via Azure DevOps pipelines and Kubernetes based job runners.\n• Migrated on prem SQL Server to Snowflake using CDC and Delphix data masking, achieving near complete coverage of data replication and synchronization.\n• Conducted exhaustive KPI reconciliation between legacy SQL Server and Snowflake, validating 100+ metrics to guarantee reporting fidelity.\n• Engineered reusable Matillion ingestion pipelines, leveraging PowerShell scripts and REST API connectors to assimilate SQL Server, Oracle, and flat file feeds.\n• Implemented Snowpipe streams for sub second data ingestion, supporting change data capture from Azure Event Hubs into operational tables.\n• Optimized Snowflake warehouses via auto scaling, clustering keys, and micro partitioning, reducing query latency by 30% and controlling compute costs.\n• Enforced enterprise RBAC, secure views, and column level data masking in Snowflake to satisfy PCI DSS and HIPAA compliance.\n• Authored comprehensive HLD, LLD, and test plans, streamlining stakeholder reviews and accelerating UAT sign off.\n• Deployed Azure Monitor and Datadog dashboards for end to end logging, metrics, and alerting across all data pipelines.\n• Integrated Azure Key Vault and Managed Identities with Snowflake linked services, eliminating hard coded secrets and achieving zero trust posture.\n• Orchestrated ADF CI/CD pipelines in Azure DevOps, automating build, test, and release of data integration workflows.\n• Automated ARM template generation and parameterization for UAT and Production, enabling consistent infrastructure provisioning.\n• Automated Snowflake environment provisioning and credential rotation using PowerShell scripts, reducing manual setup time by 40%.\nTexas Department of Transportation (TxDOT)\tAustin, TX\nSenior Data Engineer\tApr 2022 - Aug 2023\n• Developed Azure DevOps CI/CD pipelines for Databricks notebooks and ADF, automating versioned deployments and integrating PowerShell tasks for environment setup.\n• Designed enterprise ETL pipelines to ingest roadway, traffic, and infrast","cbCaiomIi0VOYgka","https://ap.wps.com/l/cbCaiomIi0VOYgka","docx",12283,"English","# Summary\n# Skills\n# Work Experience\n## Delta Dental\n## Texas Department of Transportation (TxDOT)\n## Oracle Cerner Corp","[{\"question\":\"What are Jayendra P Arimisetti’s core data engineering strengths?\",\"answer\":\"He specializes in enterprise data engineering and architecture using Snowflake, Azure Data Factory, Databricks, Spark, PySpark, and strong SQL/database optimization.\"},{\"question\":\"How did he improve performance and migration outcomes in his Snowflake/Azure project?\",\"answer\":\"He migrated 50TB from on-prem to Azure, built a modular Medallion model, and reduced query latency by 30% through warehouse optimization like auto scaling, clustering keys, and micro partitioning.\"},{\"question\":\"What security practices and governance approaches does he emphasize?\",\"answer\":\"He embeds zero-trust controls using Azure Key Vault, RBAC, secure views, column-level masking, encryption, and compliance alignment with requirements such as PCI DSS and HIPAA.\"}]","JAYENDRA P ARIMISETTI - Senior Data Engineer Summary | DOCX",1788284154]