
Amit Kumar
Data and Machine Learning Architect - loading ……..
Updated 8 months ago
14+
Years Experience
3
Roles
76
Skills
9
Education
About
🚀 Data Architect | Cloud & Big Data Engineering | Apache Kafka | Real-Time Streaming | Travel & Enthusiast I am a data architect and engineering expert, specializing in designing scalable, high-performance cloud architectures that power real-time analytics, large-scale data processing, and AI-driven decision-making. With deep expertise in BigQuery, GCP, Azure, and Apache Kafka, I craft robust data platforms, event-driven architectures, and real-time streaming solutions that enable businesses to harness the full potential of their data. I thrive at the intersection of data and machine learning architecture, engineering, and business strategy, ensuring that every solution I build is optimized for scalability, security, and cost-efficiency. Whether it's migrating legacy systems to the cloud, designing event-driven microservices, or implementing machine learning-powered insights, I focus on creating resilient, future-proof architectures that drive tangible value. Beyond the world of data, I am deeply passionate about logistics, applying data-driven strategies to optimize global operations. I am also an avid traveler, constantly exploring the best cities worldwide while working remotely, blending architectural thinking with real-world efficiency. 🔹 My Key Strengths: ✔️ Cloud Data Architecture & Scalable Solutions ✔️ BigQuery, GCP, Azure Data Engineering ✔️ Apache Kafka & Event-Driven Microservices ✔️ Real-Time Streaming & High-Throughput Systems ✔️ Machine Learning & Time Series Modeling ✔️ Logistics, Shipping & E-commerce Data Optimization 🚀 Let’s Connect! I’m always open to discussing data architecture, streaming analytics, logistics, strategies. Let’s collaborate, exchange ideas, or chat about the best cities to work from while traveling!
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Experience (3 roles)
Lead Data Engineer
CurrentI am a part of high profile data engineering team working in supply chain domain. We are building source aligned data products in our attempt at implementing a Data Mesh architecture that will engender a fast, efficient, and secure use of data across the organization. Alongside practicing and honin...
Student Coordinator
Office of Internatinal Relations IIT-Kanpur · Part-time
Coordinated connections with 10 overseas universities. Instrumental in signing of 4 MoU with foreign universities. Represented IIT-K in pan India student exchange forums. Student Gymkhana representative to IRO. Managed funds of ₹ 5Lcs for exchange students. Face of Students Gymkhana in foreign univ...
Research Assistant
Saurashtra Cement Limited · Internship
The Ready-Mix Mortar Project Designed 3 customized Ready Mix Mortar Products and Masonry Cement, conforming to Indian Standards (IS) and American Standards (ASTM) for various construction purposes, with locally available raw materials. Designed High-Strength Concrete mixes using Saurashtra Cement P...
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Education (9)
International Institute of Information Technology Bangalore
Sep 2021 - Jun 2022
Activities and societies: Java11, IntelliJ, Junit, Git and Github, Linux, Python Crypto Library, WireShark, NMap, Splunk, Kali Linux, BurpSuite, OWASP ZAP, OWASP BWA, sqlmap, AWS C0. PREPARATORY COURSE FUNDAMENTALS OF PROGRAMMING LANGUAGE WITH BASIC DATA STRUCTURES (JAVA) C1. PREPARATORY COURSE FUNDAMENTALS OF PROGRAMMING LANGUAGE WITH BASIC DATA STRUCTURES (JAVA) C2. INFORMATION SECURITY AND APPLIED CRYPTOGRAPHY INTRODUCTION TO CYBERSECURITY OS FUNDAMENTALS AND SECURITY CRYPTOGRAPHY AND ENCRYPTION CRYPTOGRAPHIC KEY MANAGEMENT MESSAGE DIGESTS AND DIGITAL SIGNATURES IDENTITY ACCESS MANAGEMENT C2. NETWORK SECURITY IN ETHICAL HACKING INTRODUCTION TO NETWORK SECURITY AND SPOOFING PACKET INSPECTION AND ATTACK AGAINST AVAILABILITY NETWORK ACCESS CONTROL SIEM TOOLS AND ADDITIONAL SECURITY MEASURES OPTIONAL C3. APPLICATION SECURITY IN ETHICAL HACKING AND ADVANCED CONCEPTS IN CYBER SECURITY INTRODUCTION TO APPLICATION SECURITY WEB-BASED APPLICATIONS AND ASSOCIATED VULNERABILITIES COOKIES AND TRACKING DATA AND DATABASE SECURITY CLOUD APPLICATION SECURITY PENETRATION TESTING, FUZZING OPTIONAL REGULATION, COMPLIANCE, AND RISK MANAGEMENT Skills: Google Cloud Platform (GCP) Cyber Security Brochure Advanced Certificate Programme in Cyber Security with IIIT B | upGrad
International Institute of Information Technology Bangalore
Jun 2021 - Jul 2022
Activities and societies: Java11, IntelliJ, Junit, Git and Github, Linux, Python Crypto Library, WireShark, NMap, Splunk, Kali Linux, BurpSuite, OWASP ZAP, OWASP BWA, sqlmap, AWS C0. FUNDAMENTALS OF PROGRAMMING LANGUAGE WITH BASIC DATA STRUCTURES (JAVA) C1. INFORMATION SECURITY AND APPLIED CRYPTOGRAPHY INTRODUCTION TO CYBERSECURITY OS FUNDAMENTALS AND SECURITY CRYPTOGRAPHIC KEY MANAGEMENT, MESSAGE DIGESTS AND DIGITAL SIGNATURES IDENTITY ACCESS MANAGEMENT C2. NETWORK SECURITY IN ETHICAL HACKING INTRODUCTION TO NETWORK SECURITY AND SPOOFING PACKET INSPECTION AND ATTACK AGAINST AVAILABILITY NETWORK ACCESS CONTROL SIEM TOOLS AND ADDITIONAL SECURITY MEASURES C3. APPLICATION SECURITY IN ETHICAL HACKING AND ADVANCED CONCEPTS IN CYBER SECURITY INTRODUCTION TO APPLICATION SECURITY WEB-BASED APPLICATIONS AND ASSOCIATED VULNERABILITIES COOKIES AND TRACKING DATA AND DATABASE SECURITY PHISHING AND OTHER ATTACKS ON IDENTITY CLOUD APPLICATION SECURITY PENETRATION TESTING, FUZZING REGULATION, COMPLIANCE, AND RISK MANAGEMENT C4. CAPSTONE Skills: Google Cloud Platform (GCP)
Texas McCombs School of Business
Feb 2021 - Feb 2022
Grade: Undrgoing Activities and societies: Pyhton, Applied Statistics, Pandas, NumPy, Matplotlib, TensorFlow, PyTorch, Keras, scikit-learn, Jupyter Notebooks, Seaborn, NLTK, Scipy, Multiple Variable Linear Regression, Naïve Bayes Classifiers, K-NN Classification, Support Vector Machines, K-means Clustering, High Dimension Clustering, Dimension Reduction-PCA, Decision Trees, Bagging, Random Forest, Boosting, Recommendation Systems, Hybrid Models, Collaborative Filtering, Neural Networks, GANs, RNN, CNN, Deep Learning, The following modules are covered under this program A) Foundations -----1. Python for AI&ML -----2. Applied Statistics ------------------------- B) Machine Learning -----1) Supervised Learning -----2) Unsupervised Learning -----3) Ensemble Techniques -----4) Featurization, Model Selectin & Tunning -----5) Recommendation System ------------------------- c) Artificial Intelligence -----1) Neural Networks -----2) Computer Vision -----3) Natural Language Processing ------------------------- d) Additional Modules -----1) Explanatory Data Analysis -----2) Time Series Forecasting -----3) Pre Work For Deep Learning -----4) Model Deployment -----5) Visualization using TensorFlow -----6) General Adversarial Networks -----7) Reinforcement Learning Skills: Google Cloud Platform (GCP) Artificial Intelligence Machine Learning Program Artificial Intelligence Course | Machine Learning Program | Artificial Intelligence & Machine Learning Certification
Skills (76)
Certifications (18)▼
Data Collection and Processing with Python
Coursera
Python Functions, Files, and Dictionaries
Coursera
LLMOps: Building Real-World Applications With Large Language Models
Udacity
Mathematics for Machine Learning: Multivariate Calculus
Coursera
Tools for Data Science?
Coursera
What is Data Science?
Coursera
Data Analysis with Python
Coursera
Mathematics for Machine Learning: PCA
Coursera
Mathematics for Machine Learning Specialization
Coursera
Python Basics
Coursera
Open Source tools for Data Science
Coursera
Mathematics for Machine Learning: Linear Algebra
Coursera
Databases and SQL for Data Science
Coursera
Python Classes and Inheritance
Coursera
Python for Data Science and AI
Coursera
Professional Data Engineer
Google Cloud - Minnesota
Data Visualization with Python
Coursera
Preparatory Course: Post Graduate Diploma Full Stack Developer Program
upGrad
Languages (3)▼
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