Krishnasis Mandal

Angestellt, Senior Cloud Engineer - Data Platform, Riverty

Fähigkeiten und Kenntnisse

.NET Framework
Algorithms
Azure Networking
Amazon Web Services (AWS)
Back-End Web Development
Apache Kafka
Big Data
Application Programming Interfaces (API)
C#
Auth0
Cascading Style Sheets (CSS)
Azure Data Factory
CI
Azure Databricks
Cloud-Native Architecture
Cloud Computing
Azure DevOps
Code Review
Cloud Infrastructure
Data Enrichment
Cloud Services
Data Integration
Cloud-Native Applications
Data Structures
Docker
Domain-Driven Design (DDD)
Databases
Elasticsearch
Datadog
FastAPI
DevOps
Flask
Distributed Systems
General Data Protection Regulation (GDPR)
Helm Charts
Django
Hive
Git
HTML
GitHub
Java
Gitlab
JavaScript
Hadoop
MLOps
Kubernetes
Open Source Software
Linux
Machine Learning
PDF Parsing & Fraud Check
Software Architectural Design
Microservices
Performance Tuning
Microsoft Azure
Software Design
Programming
Software Design Patterns
PySpark
Software Development
Python
Software Infrastructure
Python (Programming Language)
Terraform
Spring Boot
Rust (Programming Language)
Test-Driven Development
Spring Data
Shell Scripting
Vue.js
Spring Framework
Web Development
Spring Security
SQL

Werdegang

Berufserfahrung von Krishnasis Mandal

  • Bis heute 2 Jahre und 1 Monat, seit Aug. 2024

    Senior Cloud Engineer - Data Platform

    Riverty

  • 1 Jahr und 11 Monate, Okt. 2024 - Aug. 2026

    Cloud Engineer

    Riverty

    Python, K8s, Terraform, Azure, Databricks, SQL, Azure DevOps, ArgoCD, Helm, Networking • Migrated Data Platform to new Azure Tenant • Built an AI-Enabled Internal Developer Portal for the Data Platform • Leading DevOps and Platform Engineering best practices in the team • Working with Private Networking services on Azure. Working with PrivateLink, Azure DNS, and Azure VPN. • Set up Azure Firewall for Databricks Networking. • Bootstrapped the K8s cluster in the Data Platform from 0 -> 1. Set up netw

  • 5 Monate, Mai 2024 - Sep. 2024

    Software Engineer

    Flix

    • Set up Customer Accounts infrastructure using Auth0. Set up Auth0 tenants from scratch in the short 5 months I worked in Flix. The team comprised 2 engineers (including me) and 1 PO. • Created guides and a separate repository for configuring Auth0 clients - successfully onboarded the e-commerce team to use Auth0 tenants for customer account authentication. Self-service terraform repository. It works ;) https://shop.flixbus.in/my-account • Provisioned infrastructure using Terraform and Kubernetes. • Bu

  • 2 Jahre und 2 Monate, März 2022 - Apr. 2024

    Software Engineer

    Prestatech

    Full-Stack Software Engineer @ early-stage, high-growth FinTech startup. Python, Azure Cloud, Kubernetes, Databricks, Azure DevOps, Vue3 & Typescript. • Developed a Python PDF parsing library (https://github.com/weareprestatech/hotpdf). • Used Kubernetes, Helm, and ArgoCD to automate deployments with Azure DevOps. • Used Prometheus to export metrics from webapp and visualized them in Grafana. • Trained DocumentLMv2 model for image classification and data extraction from financial documents. • Worked

  • 1 Jahr und 7 Monate, Aug. 2020 - Feb. 2022

    Software Developer

    Miles Technologies

    .Net Framework 4.5 (ASP.NET - C#.NET, VB.NET), .Net Core, SQL Server, SSIS, SSRS, Javascript, HTML/CSS, LINQ, Gitlab, CI/CD, Docker, REST APIs • Was the primary developer for multiple software projects in production. Pushed hotfixes, and planned updates to these systems. Worked with ASP.NET(C# and VB), LINQ, SQL Server, HTML, CSS, and JS. • Optimized multiple stored procedures, and functions in SQL Server. Optimized a stored procedure to bring execution time from 10 minutes to less than 3 seconds. Fixed q

  • 1 Jahr und 6 Monate, Apr. 2020 - Sep. 2021

    Freelance Contributor

    SpiderFoot

    Python 3, REST APIs • Created new modules using Python to collect data from multiple sources and classify it based on its content. Fetched data from datasources using their APIs. • Also built modules to store the information in Elasticsearch and Splunk. • Wrote modules to extract real-time data from various APIs and data dumps related to a target's online presence, such as their phone number, email, username, full name, IP address, web address, and crypto address. The front-end interface presents this i

  • 1 Jahr, Aug. 2019 - Juli 2020

    Software & Big Data Engineer (Associate Analyst)

    Deloitte India (Offices of the US)

    Big Data, AWS, Spark, Python, Scala • Worked with Amazon Web Services (AWS) offerings: S3, Lambda; and Snowflake. Read incoming data from Kafka in S3, processed them in Lambda, and stored them in Snowflake. • Developed a job scheduler in Python to automate the process of running periodic jobs and implemented a job tracking module, to check for failed jobs and restart them. • Worked for a client in the Healthcare Sector to create Big Data solutions with Java, Spark, Python, Hadoop, Scala, Shell Scripting

Ausbildung von Krishnasis Mandal

  • 2016 - 2019

    Bachelor of Computer Application(BCA)

    Institute of Engineering & Management, Kolkata

    Graduated with a DGPA of 8.87

  • 2003 - 2016

    High School

    Calcutta Boys' School

    ISC : 89% ICSE : 88%

Sprachen

  • Englisch

    C2 (Verhandlungssicher / Muttersprachlich)

  • Deutsch

    B1-B2 (Gute Kenntnisse)

  • Hindi

    C2 (Verhandlungssicher / Muttersprachlich)

  • Bengali

    C2 (Verhandlungssicher / Muttersprachlich)

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