[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-200277-105":53,"doc-detail-200277-en":127},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},105,"en","anand-prakash-singh-resume","Anand Prakash Singh - Resume","","Strategic cloud and data engineering leader with 17+ years of experience across Data Engineering, DevOps, and AI platforms. Built and scaled multi-cloud data and AI engineering organizations from zero to 30+ engineers, owning end-to-end on-prem to cloud and cloud-to-cloud migrations. Delivered large-scale modernization using lakehouse/medallion patterns, governed critical data assets, and sustained 99.99% availability through DevSecOps practices, CI/CD automation, observability, and SRE reliability measures. Proven FinOps optimization reducing spend by up to 40%.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":16,"@type":70,"position":76},"https://docshare.wps.com/template/resumes/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/anand-prakash-singh-resume/200277/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/anand-prakash-singh-resume/200277.png","ImageObject",442,249,{"name":88,"@type":89},"Tawan","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/vnd.openxmlformats-officedocument.wordprocessingml.document","2026-10-06","2026-09-04",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",6,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What are Anand Prakash Singh's core areas of expertise?","Question",{"text":109,"@type":110},"Cloud leadership focused on Data Engineering, DevOps, and AI platforms, including lakehouse modernization, DevSecOps automation, and SRE observability. He also leads cloud-to-cloud migrations and governance for critical data assets.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"How has he contributed to large-scale migrations and platform modernization?",{"text":114,"@type":110},"He owned end-to-end migrations from on-prem data centers to cloud and across clouds, including discovery, landing zone design, migration waves, cutover, and hypercare. He delivered lakehouse platforms and equivalent patterns across AWS, Azure, and GCP.",{"name":116,"@type":107,"acceptedAnswer":117},"What reliability and cost outcomes are highlighted in the resume?",{"text":118,"@type":110},"He sustained 99.99% platform availability through CI/CD, policy-as-code, and observability/SLO monitoring, and improved pipeline reliability and incident reduction. He also drove FinOps optimizations to reduce cloud spend by up to 40%.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},200277,1790054220,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":15,"category_name":16,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":141,"read_time":76},2336475104042,"https://ap-avatar.wpscdn.com/avatar/22000c4c32af1715be0?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786537525561427321","Anand Prakash Singh\nPhone: +91-9911196679\nEmail: reachout@anandprakashsingh.com\nPROFESSIONAL SUMMARY\n• Strategic and execution-focused cloud leader with 17+ years in Data Engineering, DevOps, and AI platforms, managing multi-million-dollar programs and enterprise modernization roadmaps.\n• Built platform organizations from scratch and scaled them from 0 to 8, 10+, and 30+ engineers across Data Engineering, SRE/DevOps, and AI enablement functions.\n• Owned end-to-end migration programs from on-prem data centers to cloud and cloud-to-cloud (AWS, Azure, GCP), including discovery, landing zone design, migration waves, cutover, and hypercare.\n• Delivered large-scale data modernization using lakehouse and medallion patterns, processing 5+ TB/day and governing 500+ critical data assets.\n• Led DevSecOps transformations with automated CI/CD, policy-as-code, and SRE observability, sustaining 99.99% platform availability.\n• Hands-on with in-demand cloud services across AWS, Azure, and GCP for compute, containers, data, streaming, security, and GenAI platforms.\n• Consistently improved unit economics through FinOps, rightsizing, autoscaling, and storage lifecycle controls, reducing cloud spend by up to 40%.\n• Trusted partner to product, architecture, security, and operations stakeholders for quarterly planning, risk management, and executive reporting.\nPROFESSIONAL EXPERIENCE\nPractice Lead - Multi Cloud Managed Services & Data Engineering\nConfidential | July 2025 – Present\n• Built the Multi-Cloud Data & AI Engineering function from 0 to 8 engineers in the first two quarters and scaled to 18+ engineers across platform, data, and reliability tracks.\n• Owned 12+ migration waves from on-prem (Oracle, SQL Server, Hadoop, legacy ETL) to AWS/Azure/GCP, migrating 200+ TB and 1,000+ production jobs with controlled cutovers.\n• Led cloud-to-cloud replatforming programs (AWS to Azure, AWS to GCP, and Azure to AWS) for analytics and DevOps stacks, with zero critical data-loss incidents during migration windows.\n• Architected production lakehouse platforms using S3 + Apache Iceberg + Glue Catalog + EMR + Athena, and mapped equivalent patterns on ADLS Gen2/Synapse and GCS/BigQuery.\n• Designed and delivered 40+ Spark/PySpark pipelines across EMR, Glue, Dataproc, and Dataflow, processing 5+ TB/day with 60% faster batch completion.\n• Implemented orchestration standards across MWAA (Airflow), Azure Data Factory, and Cloud Composer, governing 100+ DAGs/pipelines with SLA-aware alerting.\n• Standardized dimensional models (Star/Snowflake) and medallion layers (raw/bronze, processed/silver, curated/gold) for BI, data science, and operational reporting.\n• Automated landing zones and environment provisioning with Terraform and GitLab CI/CD for VPC/VNet, EKS/AKS/GKE, IAM/RBAC, networking, and policy baselines.\n• Established governance and security controls using IAM, AWS KMS, Azure Key Vault, GCP KMS, Lake Formation, and cloud-native audit logging for compliant data access.\n• Implemented data quality gates with Great Expectations and custom PySpark checks, maintaining 99.9% data accuracy SLAs across business-critical datasets.\n• Built real-time ingestion and event pipelines using Kinesis/MSK, Event Hubs, and Pub/Sub/Kafka for low-latency analytics and operational AI use cases.\n• Introduced DataOps engineering practices (unit/integration/E2E tests, contract tests, release templates), improving pipeline reliability and reducing production incidents by 55%.\n• Partnered with data science teams to operationalize ML/GenAI on SageMaker, Azure ML, and Vertex AI with feature pipelines, model deployment, and monitoring.\n• Executed FinOps optimization plans (spot compute, autoscaling, tiered storage, query tuning), reducing monthly platform costs by 40%.\n• Mentored and performance-managed 8+ direct engineers and technical leads, building a strong internal hiring and capability-development pipeline.\n• Ran delivery governance in Agile/SCRUM with quarterly OKRs, risk reviews, and ","cbCaibxeex6Hm5cD","https://ap.wps.com/l/cbCaibxeex6Hm5cD","docx",19959,8,"English","# Professional Summary\n## Multi-cloud data & AI modernization\n## DevSecOps, SRE observability, and reliability\n## FinOps cost optimization\n# Professional Experience\n## Practice Lead - Multi Cloud Managed Services & Data Engineering\n## Engineering Manager, DevOps & Cloud Services","[{\"question\":\"What are Anand Prakash Singh's core areas of expertise?\",\"answer\":\"Cloud leadership focused on Data Engineering, DevOps, and AI platforms, including lakehouse modernization, DevSecOps automation, and SRE observability. He also leads cloud-to-cloud migrations and governance for critical data assets.\"},{\"question\":\"How has he contributed to large-scale migrations and platform modernization?\",\"answer\":\"He owned end-to-end migrations from on-prem data centers to cloud and across clouds, including discovery, landing zone design, migration waves, cutover, and hypercare. He delivered lakehouse platforms and equivalent patterns across AWS, Azure, and GCP.\"},{\"question\":\"What reliability and cost outcomes are highlighted in the resume?\",\"answer\":\"He sustained 99.99% platform availability through CI/CD, policy-as-code, and observability/SLO monitoring, and improved pipeline reliability and incident reduction. He also drove FinOps optimizations to reduce cloud spend by up to 40%.\"}]","Anand Prakash Singh - Resume | DOCX",1788508454]