Summary
Overview
Work History
Education
Skills
Websites
Certification
Accomplishments
Timeline
Generic

Amitesh Bhattacharya

Belfast

Summary

I'm Amitesh, a Technical Data Engineering and Data Science Manager at Arqiva, a leading telecommunications company that provides infrastructure, broadcast transmission and smart meter facilities. I have around 16+ years of experience in delivering mission-critical transformational projects for clients across various business sectors, such as media, utilities, banking and telecoms. I specialize in building data platforms and delivering data initiatives for organizations and helping them innovate to democratize data and build competitive products aligned to organizational goals. I'm passionate about data-driven innovation and continuous learning, and I'm always looking for new challenges and opportunities to grow my skills and knowledge.

Overview

16
16
years of professional experience
1
1
Certification

Work History

Senior Data Engineering/Data Science Manager

Arqiva
12.2022 - Current
  • Company Overview: a leading telecommunications company that provides infrastructure, broadcast transmission and smart meter facilities
  • Drive the design of an enterprise data platform with a modern tech stack, leading to a significant reduction in data product build timelines, data processing costs, and improved data accessibility, advancing data governance
  • Implement new data pipeline patterns and frameworks to enhance team productivity, leading to an increase in data product development speed and improved overall data quality
  • Implement data governance initiatives, resulting in improved data accuracy, lineage, and observability, leading to enhanced trust in data and decision-making
  • Manage the delivery of data engineering and data science projects across Arqiva's business units, ensuring quality, timeliness, and alignment with business objectives
  • Provide technical guidance and mentorship to the data engineering and data science team members, fostering a culture of collaboration, innovation, and continuous improvement
  • Define and implement best practices and standards for data engineering and data science processes, tools, and methodologies
  • Identify new ways to leverage data to generate insights, value, and competitive advantage for Arqiva's customers, stakeholders, and society
  • A leading telecommunications company that provides infrastructure, broadcast transmission and smart meter facilities

Data & AI Manager

Accenture
04.2022 - 12.2022
  • As a Data and AI Manager at Accenture, I lead the delivery of advanced analytics, data science, and artificial intelligence (AI) solutions for our clients
  • I worked with clients to understand their business needs and develop strategies for leveraging data and AI to achieve their goals
  • Managed a team of data scientists, engineers, and analysts to deliver high-quality solutions and ensure client satisfaction
  • Develop and implement data and AI strategies for clients
  • Work with clients to identify business problems that can be solved with data and AI
  • Lead the development and deployment of advanced analytics, machine learning, and deep learning models
  • Manage a team of data scientists, engineers, and analysts to deliver solutions on time and within budget
  • Ensure data quality and integrity throughout the project lifecycle
  • Communicate with clients on project progress, risks, and opportunities
  • Collaborate with other Accenture teams to deliver end-to-end solutions that meet client needs
  • Continuously learn and stay up-to-date on the latest data and AI technologies and trends

Data Engineering Manager

Slice
03.2021 - 04.2022
  • Company Overview: dedicated to helping independent pizzerias compete with big pizza chains by offering simple online ordering technology, personalized in-store marketing & customized digital ads
  • My role as a Data Eng
  • Manager was to drive business growth by leading a team of data engineers and responsible for the design, development, and implementation of data products and pipelines
  • Design, Develop & Maintain all parts of the data pipeline to build interactive and curated data needed to drive insights through data science, reporting & analytics
  • Technologies: Databricks, AWS, Airflow, Kafka, Looker, Alation, ML flows
  • Dedicated to helping independent pizzerias compete with big pizza chains by offering simple online ordering technology, personalized in-store marketing & customized digital ads

Vice President of Products

Citi
05.2014 - 03.2021
  • As an Application Manager in the Investment Services Group at Citi, I was responsible for leading and managing the development and maintenance of various applications that support the data engineering, advanced analytics, cloud migration, and BI Qlik needs of the Investment Services Group
  • I worked closely with the technology and business teams to deliver innovative solutions that drive business growth and profitability
  • Lead the development and maintenance of applications that support the data engineering, advanced analytics, cloud migration, and BI Qlik needs of the Investment Services Group
  • Work closely with the business and technology teams to understand the business requirements and translate them into technical solutions
  • Develop project plans, timelines, and budgets for application development and maintenance projects
  • Manage the end-to-end application development lifecycle, from requirements gathering to deployment and post-implementation support

Senior Business Intelligence Consultant

ITI Data
06.2012 - 05.2014

Data Analytics Consultant

Barclays
10.2011 - 06.2012

Senior ETL Developer

Sopra Steria
10.2008 - 10.2011

Education

Master of Business Administration - MBA - Business Analytics

Ulster University
12.2020

B.TECH - Computer Science

National Institute of Technology
12.2008

Mathematics and Computer Science - undefined

St. Xavier's College
12.2002

Skills

  • Data Architecture

  • Data Strategy

  • Advance Analytics

  • Databricks

  • Data Engineering

  • Dbt

  • Generative AI

  • Machine Learning

  • Snowflake

  • SQL

  • Python

Certification

  • Hands On Snowflake - WebUI Essentials, 06/01/20, Present
  • Introduction to Big Data, 06/01/20, Present
  • Introduction to Project management, 05/01/20, Present
  • Agile Project Governance, 05/01/20, Present
  • Introduction to Unified Data Analytics with Databricks Accreditation, 05/01/20, Present
  • Introduction to Computer Science and Programming Using Python, 03/01/16, Present
  • Python Programming, 03/01/16, Present
  • Introduction to Users Requirement, 03/01/16, Present
  • Introduction to Modeling for Business Analysis, 03/01/16, Present
  • Excel for Data Analysis and Visualization, 10/01/15, Present

Accomplishments

  • Leading a team of 10+ data engineers and data scientists to design and implement scalable data platform and solutions using cloud technologies, such as AWS, Databricks, Dbt, Airflow, Spark, Kafka etc.
  • Leveraging advanced analytics and machine learning to drive business value and customer satisfaction, such as improving operational efficiency, reducing costs, enhancing customer experience and increasing revenue.
  • Developing and executing data governance frameworks and best practices to ensure data quality, security and compliance.
  • Collaborating with senior stakeholders and business partners to understand their data needs and provide strategic insights and recommendations.

Timeline

Senior Data Engineering/Data Science Manager

Arqiva
12.2022 - Current

Data & AI Manager

Accenture
04.2022 - 12.2022

Data Engineering Manager

Slice
03.2021 - 04.2022

Vice President of Products

Citi
05.2014 - 03.2021

Senior Business Intelligence Consultant

ITI Data
06.2012 - 05.2014

Data Analytics Consultant

Barclays
10.2011 - 06.2012

Senior ETL Developer

Sopra Steria
10.2008 - 10.2011

Mathematics and Computer Science - undefined

St. Xavier's College

Master of Business Administration - MBA - Business Analytics

Ulster University

B.TECH - Computer Science

National Institute of Technology
Amitesh Bhattacharya