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Shiva Achari

London, United Kingdom

18+ years of experience in designing and implementing advanced, cutting-edge data technologies.
12+ years of expertise in Data, Analytics, ML-Ops, Data-AI Architecture and 8+ years of hands-on experience with AWS Cloud.
Proven ability to architect, design, and develop large-scale, high-performing, and innovative solutions, including Big Data Management, Distributed Systems, Near Real-Time Processing, AWS Cloud-Based Applications, and Data Analytics Platforms.
Author of Hadoop Essentials, a comprehensive guide on leveraging Hadoop and its ecosystem components across all phases of the Hadoop project lifecycle.
Contributor to domain knowledge through technical blogs, including AWS Data blogs:
Run a Spark SQL-Based ETL Pipeline with Amazon EMR on Amazon EKS
Build a SQL-Based ETL Pipeline with Apache Spark on Amazon EKS

Available For: Advising, Authoring, Consulting, Influencing, Speaking
Travels From: Anywhere
Speaking Topics: Software Architecture - Data, AI, ML

Shiva Achari	Points
Academic	0
Author	62
Influencer	1
Speaker	0
Entrepreneur	0
Total	63

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Areas of Expertise

Analytics 30.09

Architecture 85.26

Big Data 31.18

Digital Transformation

Ecosystems 33.50

Engineering

Generative AI

IoT

IT Leadership

Open Source

SportsTech

Startups

Industry Experience

Publications

2 Article/Blogs

Build a SQL-based ETL pipeline with Apache Spark on Amazon EKS
AWS
August 24, 2021

Build a SQL-based ETL pipeline with Apache Spark on Amazon EKS

See publication

Tags: Analytics, Big Data, IT Strategy

Run a Spark SQL-based ETL pipeline with Amazon EMR on Amazon EKS
AWS
August 24, 2021

Run a Spark SQL-based ETL pipeline with Amazon EMR on Amazon EKS

See publication

Tags: Analytics, Big Data, IT Strategy

1 Book

Hadoop Essentials
Packt
April 15, 2015

This book jumps into the world of Hadoop and its tools, to help you learn how to use them effectively to optimize and improve the way you handle Big Data.

See publication

Tags: Architecture, Big Data, Ecosystems