Akash Banerjee

Experience

• 

  HERE Technologies

  Sept 2017 - Dec 2017

  GIS Analyst

  As a GIS Analyst at Here Technologies, I've had the privilege of contributing to the advancement of autonomous driving technology through my role in developing and refining crucial map data and traffic sign datasets. My experience and responsibilities have encompassed the following:- Spearheaded the creation and maintenance of high-precision, color-coded maps essential for training self-driving cars.- Leveraged GIS techniques to classify and differentiate various elements within the maps, including sky, road surfaces, lane markings, greenery, pedestrians, and cyclists.- Ensured the accuracy and reliability of map data, which is pivotal for autonomous vehicles to navigate complex urban environments safely and efficiently.- Played a pivotal role in enhancing datasets used for training autonomous vehicles to identify and interpret traffic signs.- Applied advanced GIS tools and methodologies to analyze spatial data, ensuring the accuracy of map information and traffic sign datasets.- Maintained an up-to-date knowledge of GIS software, techniques, and industry best practices to optimize map creation and data enrichment processes.- Actively participated in project planning, data validation, and quality assurance processes to deliver high-quality results.- Addressed complex challenges related to data accuracy, consistency, and relevance to ensure the highest levels of safety and reliability for self-driving vehicles. Show less

• 

  Infosys

  Dec 2017 - Feb 2022

  • Infrastructure Deployment with Terraform: Successfully deployed web app services using Terraform in Azure DevOps, automating infrastructure provisioning and management.• Testing and Code Coverage: Implemented Pyunit tests and code coverage analysis in Jenkins to ensure robust code quality and reliability.• AWS ETL Automation: Automated AWS Glue ETL jobs using AWS Developer tools like Code-Commit, Code-Build, Code-Pipeline, Lambda, Step-Functions, S3, and SNS, streamlining data processing workflows.• Cloud Infrastructure as Code: Created CloudFormation stacks to automate infrastructure deployment in AWS, enabling scalability and cost-efficiency.• Container Orchestration: Worked with EKS clusters, orchestrating containerized applications efficiently.• Serverless Computing: Developed Python-based Lambda functions to automate AWS day-to-day tasks, enhancing operational efficiency.• Load Balancing and Auto-Scaling: Implemented load balancers and auto-scaling groups to ensure a cost-efficient, fault-tolerant, highly available, and scalable environment.• VPC and Security: Established and managed Virtual Private Clouds (VPCs), including the creation of public and private subnets, and ensured security through route tables, NACLs, and security groups.• Database Management: Managed databases on Amazon RDS, including migrating MySQL databases from EC2 to RDS for improved scalability and reliability.• Monitoring: Monitored servers and resources through Amazon CloudWatch and Azure Monitor to proactively address issues and optimize performance.• Knowledge Sharing: Contributed to the Infosys learning platform (LEX) by creating courses on DevOps, sharing expertise with colleagues and fostering a culture of continuous learning. Show less • Azure Cloud: Proficiently leveraged Azure's cloud services, enabling clients to harness the power of cloud computing for scalable, cost-effective solutions.• Metadata Ingestion Framework (Azure Data Factory - ADF): Designed and implemented a robust metadata ingestion framework using Azure Data Factory, streamlining data pipelines and enhancing data governance.• Azure Databricks: Utilized Azure Databricks to optimize data processing and analytics workflows, driving data-driven decision-making for clients.• CI/CD on Databricks Notebooks: Established Continuous Integration/Continuous Deployment (CI/CD) pipelines for Databricks notebooks, ensuring efficient code management and deployment.• CI/CD Implementation on Azure LogicApps using ARM Templates: Orchestrated CI/CD processes on Azure LogicApps through ARM templates, automating workflows for greater efficiency.• CI/CD for Snowflake using Azure DevOps and Flyway: Enabled seamless deployments for Snowflake data warehousing using Azure DevOps and Flyway, ensuring data integrity and version control.• CI/CD for Snowflake with Azure DevOps using Docker and Sqitch: Leveraged Docker containers and Sqitch to streamline CI/CD pipelines for Snowflake data warehousing on Azure DevOps. Show less • Informatica Intelligent Cloud Services (IICS): Spearheaded the implementation and optimization of IICS, enabling clients to leverage cloud-based data integration, data quality, and data governance solutions.• CI/CD Implementation: Successfully established Continuous Integration and Continuous Deployment (CI/CD) pipelines for Informatica using Jenkins, streamlining the deployment process and ensuring efficient, error-free operations.• Informatica PowerCenter: Leveraged Informatica PowerCenter to handle data integration, transformation, and workflow orchestration, facilitating the smooth flow of data across various systems.• Big Data Management (BDM): Contributed to Big Data Management (BDM) projects, ensuring seamless handling of large volumes of data for analysis and reporting.• MetCommand Utility: Leveraged the MetCommand utility to facilitate data integration, transformation, and orchestration, enhancing data management capabilities.• Identity and Access Management: Ensured robust Identity and Access Management (IAM) practices, guaranteeing data security and compliance with industry standards.• Informatica Cloud Connectors: Seamlessly integrated various Informatica Cloud Connectors to enhance connectivity, data transfer, and automation.• VMware vSphere: Proficiently managed and maintained virtualized data center environments using VMware vSphere, ensuring high availability and efficient resource allocation.• vCenter Server: Effectively administered vCenter servers, centralizing control and management of virtualized infrastructure for seamless operations.• VMware ESXi: Skillfully handled VMware ESXi hypervisors, ensuring the stability and performance of virtual machines. Show less Unit CISRUN: Cloud and Infrastructure Services☁️ Cloud and Infrastructure Services: Gained hands-on experience in managing and optimizing cloud-based infrastructure services, ensuring seamless operations for clients.🐍 Python Programming: Developed proficiency in Python for scripting, automation, and data analysis, enhancing operational efficiency.☕ Java (OOPs): Acquired a strong foundation in Java with a focus on Object-Oriented Programming, contributing to software development and problem-solving.📚 Data Structures: Mastered data structures, enabling me to design efficient algorithms and data manipulation solutions.💼 RDBMS: Gained expertise in Relational Database Management Systems (RDBMS) for efficient data storage and retrieval.🛠️ Software Engineering: Gained insights into software engineering practices, including design principles and development methodologies.🌐 Networking: Acquired knowledge in networking principles, ensuring robust connectivity and infrastructure management.💻 Operating Systems: Proficiently worked with both Windows and Linux operating systems, addressing diverse client requirements. 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  • System Engineer

    Jul 2020 - Feb 2022

  • Senior Operations Executive

    Oct 2019 - Jun 2020

  • Operations Executive

    Apr 2018 - Sept 2019

  • Operations Executive Trainee

    Dec 2017 - Mar 2018
• 

  OpsTree Solutions

  Feb 2022 - now

  • Lead DevOps Specialist

    May 2024 - now

  • Senior DevOps Specialist

    Feb 2023 - Apr 2024

  • DevOps Specialist

    Feb 2022 - Jan 2023