Tools & Technologies: AWS Cloud Services: IAM, VPC, S3, EC2, EMR, Athena, Lambda, RDS, Red Shift, EBS, SNS, SageMaker, CloudWatch, CloudTrail, Awscli, TrustedAdvisor. GuardDuty, KMS, Python 3.5, Qubole data services, Hadoop, Spark, Hive, Terraform.Project Description:- Build & productionized enterprise Data Lake platform on AWS Cloud from scratch for firms Technology and Digital unit. This includes evaluation of platform, building dev, preview, and Production environment. Hardening of Landing zones and implementing of security controls in cloud. Moving firms on premises real time and batch processes applications to cloud based infrastructure, utilizing the implemented data lake.Description:-Lead the AWS Admin team & Onboarded 7 different projects use-cases includes 100's of users account creation and conducting workshop for them to use data lake platform.-Developed implementation plans for big data and Data Lake architecture team. Worked with global architecture team to drive the technical strategy and architecture.-Worked with Application Architecture and Development teams to identify requirements for distributed computing services.-Prepared technology blueprints, supporting technical documentation and technology roadmap.-Engage in technology sourcing and selection activities on working with third-party vendors to identify the solution options.-Research and evaluate new tools and/or new architecture and review with analytics and data scientist teams as applicable.-Cyber & firmwide security- Established cloud VPC and firewall based secure infrastructure & making sure application infrastructure is compliant with firm’s policies and security requirements.

-Project 1. Performed between (June 2018 – July 2019)Domain: Product feature development for “Global Management Consulting Firm’s Product Unit “Tools & Technologies: Python 3.5, AWS S3, EC2, Azure VM’s, GitLab, Jenkins, SQL DB, Min.io, Go CI, GitHub, PyCharmProject Description:-Automation of various ETL process for campaigning and promotion management product engine for retail, where user can go and create different kind of promotions and campaigns.Description:-Automation of vendor process creation through python ETL pipeline includes validation of file, vendor creation, user creation form values on file, policy & group creation for a central authentication System.Providing authorization to different users as per roles.Project 2. details between (Feb 2018 – May 2018)Domain: Artificial IntelligenceTools & Technologies: Python 3.5.2, Numpy, TensorFlow 1.2, NLTK, RestApi and HTML for the UI.Project Description:-Creation of chatbot based on tensor flow to give replies based on learnings from various document as input.Description:-Implementation is based on the legacy seq2seq model (static RNN) in TensorFlow version 1.2 and higher.-Bot created with higher vision of using it in various domains and different kinds of Support activities like policy, sales, HR etc.-Bot has been trained using different kinds of conversation data, so it will able to answer on different kinds of general conversation as well.

-Development and maintenance of online school management portal, written in PHP with MySQLand MsSQL for data storage.-Develop complex SQL scripts to query data across multiple databases and feed the website andAPIs.-Automated a wide range of repetitive tasks, including production of Excel reports, eliminating re-keying errors and reducing turnaround time.-Developing compatible User Interface functionality using AJAX, jQuery & other libraries.-Performed regular database backup.-Acted as team lead during all phases of projects from requirements gathering to supportingdevelopment.

-Proficiency in common languages such as C/C++, Python, etc., and rich experience in client/server development (participated in the development of games that reached the top 50 on the iOS bestseller list). Have an in-depth understanding of commonly used algorithms, data structures, and network protocols.

-From back-end data clerk to senior back-end developer, primarily responsible for the development and maintenance of multi-tier underlying services for the platform, as well as designing automated deployment systems using Spring Could microservice architecture.