Anant Kumar

> Client footprint : Global Insurance companies in P&C industry spanning across AMER, EMER and APAC regions.

> Technical Stack : AWS, Kubernetes, Datadog, OpenTelemetry, PagerDuty, TeamCity, Terraform, ELK stack, Data Engineering etc

• Operation and maintenance of Guidewire's flagship cloud platform and InsuranceSuite products : combining digital, core, data, analytics, and AI to deliver Guidewire’s platform as a cloud service.
• Define and implement a comprehensive strategy for monitoring and observability in a cloud-based infrastructure, ensuring it aligns with the organization's business goals and objectives.
• Design and architect monitoring solutions that provide real-time visibility into cloud resources, including virtual machines, containers, databases, and network components.
• Research, evaluate, and select appropriate monitoring and observability tools, platforms, and technologies that suit the organization's needs, scalability, and cost-efficiency.
• Analyze monitoring data using metrics, distributed tracing, logs, network performance to identify bottlenecks, capacity management, performance issues, and areas for improvement.
• Set up alerting mechanisms to promptly detect and respond to incidents, breaches, or anomalies.

> Client footprint : Clients in ANZ region spanning across multiple sectors : Federal/Public, FinServices, Energy, Private etc.

> Technical Stack : VMware Greenplum, VMware RabbitMQ, VMware SQL, PostgreSQL, Apache Nifi

• Architect and design data solutions using VMware Data Catalog products. Skilled in creating scalable, high-performance data models and schemas that meet business requirements.
• End to end solution implementation from Data Integration, Data transformation and ETL, Data Warehousing, Data Modelling, Data Quality and governance and Data Pipeline orchestration using VMware Data Catalog products and third party vendor products.
• Data Governance: Establishing and enforcing policies, standards, and processes to ensure the availability, integrity, and security of data within the Greenplum database.
• Architected and implemented a data pipeline solution for energy utility client to capture IoT sensor data for advanced analytics using RabbitMQ messaging, Apache Nifi and VMware Greenplum.
• Designed and implemented a data lake solution for insurance sector client for advanced analytics of their claims & finance domain using VMware Greenplum and S3 storage leveraging platform extension framework.
• Conducting competitive POCs for customer's IT data analytics projects, including hands-on experience in migrating on-premise ETLs to Google Cloud Platform (GCP) using cloud-native tools such as BigQuery, Cloud Data Proc, Google Cloud Storage, and Compose.
• Stakeholder management to engage with multiple stakeholders for end-to-end successful delivery of the project.
• Collaborating with Engineering and Product Management teams, for rapid competency build-up, as well as influence the development of product features and enhancements.
• Technical Sales : Conducting discovery sessions with customers and design and architect data solutions to meet business goals. Provide enablement and advisories to customers in terms of best-practices, optimisation technique and to achieve availability goals.
• Involved in pre-sales activities to share the value of Data products, including responding to product related queries as well as delivering proof-of-concepts to get customers’ buy-in.

> Client footprint : Global Clients.

• Data Engineering
  —> Worked extensively on Amazon Redshift to create highly performant OLAP systems for multiple clients to speed-up their data analytics requirements.
  —> Worked on Data Analytics projects leveraging AWS data services like Amazon Kinesis, SQS, S3, Athena, Lambda, EMR, Glue, Redshift and QuickSight. This includes leveraging these tools for data processing, analysis, and streaming, as well as integrating them into the overall data architecture.
  —> In-depth understanding of Data Engineering tools/frameworks and standards : AWS Code Commit for version control of code, AWS Code Pipeline for CI/CD, AWS Step functions for Data Pipeline orchestration, AWS Glue DataBrew for automated testing and data quality monitoring, AWS Glue Catalog for Metadata management etc.
  —> Data Governance : Implemented data governance frameworks, utilizing AWS lake formation, AWS Identity and Access Management (IAM) and AWS CloudTrail for data security, access control, and compliance.
  
• Cloud Technical support
  Troubleshoot technical issues (e.g., connectivity, data pipeline workflows, service integration) and complex cloud data infrastructure with advanced technical knowledge across data services, networking, security and cloud computing services/products in AWS and third party vendors too.
  
• Cloud FinOps
  Optimizing cloud costs and maximizing cost efficiency by leveraging AWS cost management tools, monitoring usage patterns, implementing cost allocation strategies, and providing actionable insights to drive cost optimization initiatives.

• Technical Writing
  Idealisation and implementation of new solutions and framing them into AWS knowledge articles for global customer usage.

• Responsibilities
  - Cloud Architect & Developer: Involved in 5 major projects as Stream Architect and Developer for cloud migration of multiple applications hosted on IBM DCs to AWS Cloud.
  - Technical team leader: Onsite lead for data warehousing applications for Aircraft Engineering domain. Responsibilities involved gathering customer requirements, designing functional and technical blueprints, troubleshooting data issues and maintaining availability and reliability of 15 applications hosted on AWS, ETL and Oracle DB and APEX.
  - Data Engineer: Mining of data coming from live OLTP database, developing ETL pipelines based on Star and Snowflake schema to prepare data for OLAP and visualizations at customer end using Qlik, Cognos, Power BI and Tableau.
  
• Projects
  - Cloud Migration of Data Streams, CDC Data Replication via AWS from live source system to DW with customizations. Services leveraged - AWS RDS, AWS DMS, Oracle Views/Triggers, AWS Lambda, Datadog, Splunk.
  - Architecting and developing Data pipelines for supply chain and finance systems in Qantas demand forecasting using Google Cloud Storage, Google Dataflow, Dataproc and BigQuery.
  - Cloud Migration of on-premise crew management system. Services leveraged - AWS EC2, AWS FSx for Windows File Server, Microsoft SQL server, Datadog, Splunk etc.
  - Data Engineering Applications, New systems architecture and development: Leveraging data to create XML and PDF reports required for buying and selling of Aircrafts using IBM Datastage and Oracle PL/SQL, Preferred Vendor Analysis and Catalogue Management system- using Oracle Application Express and PL/SQL, Demand Forecasting System for SCM of Airlines - using IBM Datastage, Microsoft sql Server, PTC SPM and Intellicus Reporting.
  - Cloud Migration of Data warehouse: Migrating existing IBM based Oracle DW to AWS cloud using AWS RDS, S3 and EC2 hosting IBM TWS.
  
• Impact
  - Offered decision-makers ROI and cost-benefit projections to guide project development and implementation.
  - Cost Optimizations for AWS based applications leading to cost savings of upto USD 50k per month.
  - Trained end-users in best practices to minimize errors and protect key data.