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Ajinkya Bhole

Data Analytics | Datawarehouse | ETL | Business Intelligence | AWS | Python | Bigdata

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About

Ajinkya Bhole is an experienced data analytics professional with over 8 years of experience in the IT industry. He has spent 7+ years specializing in ETL development using Informatica and 1 year in AWS development. Ajinkya has worked in various domains including banking, insurance, and pharma. Ajinkya's technical skills include ETL tools, PL/SQL, DB2, SQL SERVER 2008, Mainframe, Linux, Unix, Networking, Java, C, and C++. He is proficient in using various tools such as INFORMATICA PowerCenter, INFORMATICA PowerExchange, Business Objects Reporting tool, SSRS Reporting tool, Abinitio, Microsoft Visio, HP Quality Center, Big Data, Hadoop, AWS, Redshift, and s3. As a Manager at Capgemini, Ajinkya leads data analytics projects and provides end-to-end implementation solutions. He has also worked as an Application Developer Senior Analyst at Accenture and a Software Engineer at Syntel, where he gained valuable experience in Informatica development and ETL tools. Ajinkya holds a Post Graduation degree in Big Data Engineering from Birla Institute of Technology and Science, Pilani. He also has a Post Graduate Diploma in System Software Development from C-DAC and a Bachelor of Engineering degree in Electronics and Telecommunication from the University of Mumbai. With a relevant experience of 4.69 years, Ajinkya's specialties include Business Intelligence, Business Requirement Analysis, Data Analysis, Data Integration, Migration, Design and Development using ETL tools, ETL Testing, and Reconciliation Process. He is skilled in AWS, ETL, Python, SQL, Big Data, Hadoop, Integration, and Software Engineering.

Education Overview

bits pilani birla institute of technology and science

cdac

university of mumbai

kendriya vidyalaya

k v hebbal

Companies Overview

capgemini

accenture

syntel

Experience Overview

7.8 Years

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Experience

Manager

capgemini | Pune, Maharashtra, India

2021 - Present

Application developer senior analyst

accenture | Pune Area, India

2016 - 2021

Software Engineer

syntel | Pune Area, India

2014 - 2016

Skills

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Amazon S3

Amazon Web Services (AWS)

analytics

banking

Big Data

business intelligence

Business Intelligence (BI)

Data Analysis

Data Integration

DB2

Design

etl tools

Extract, Transform, Load (ETL)

Hadoop

Informatica

Integration

Mainframe

Networking

Python

quality center

SQL

sql server

SQL Server Reporting Services (SSRS)

SSRS

test

testing

Unix

visio

Windows

Contact Details

Email (Verified)

xxxxxxxx@xxxx.xx

Mobile Number

+91XXXXXXXXXX

Education

bits pilani birla institute of technology and science

Post Graduation

2018 - 2019

cdac

Post Graduate Diploma Diploma

2013 - 2014

university of mumbai

Bachelor of Engineering (BE)

2009 - 2013

kendriya vidyalaya

H.S.C

2008 - 2009

kendriya vidyalaya

S. S. C

2006 - 2007

k v hebbal

2001 - 2006

Frequently asked questions

What company does Ajinkya Bhole work for?

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Ajinkya Bhole works for capgemini

What is Ajinkya Bhole role in his workplace?

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Ajinkya Bhole's role in his workplace is Manager

What is Ajinkya Bhole's tenure in his workplace?

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Ajinkya Bhole's tenure in his workplace is 3.09 years

What is Ajinkya Bhole's total experience?

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Ajinkya Bhole's total experience is 7.75 years

What is Ajinkya Bhole's LinkedIn profile?

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Ajinkya Bhole's LinkedIn profile can be found here

What is Ajinkya Bhole's email address?

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Ajinkya Bhole's email address is xxxxxxxx@xxxx.xx. Unlock here

What is Ajinkya Bhole's phone/WhatsApp number?

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Ajinkya Bhole's phone number is +91XXXXXXXXXX. Unlock here

What schools did Ajinkya Bhole attend?

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Ajinkya Bhole has attended bits pilani birla institute of technology and science, cdac, university of mumbai, kendriya vidyalaya, kendriya vidyalaya, k v hebbal

What companies has Ajinkya Bhole worked with?

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Ajinkya Bhole has worked with capgemini, accenture, syntel

What are some of Ajinkya Bhole's skills?

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Ajinkya Bhole has skills in Amazon S3, Amazon Web Services (AWS), analytics, banking, Big Data, business intelligence and more.

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