Aditya Chatterjee

Principal Data Engineer @Autodesk. Certified in Data Engineering Techstack. Experienced in architecting and designing Analytics pipelines.Online AWS and dbt Trainer. Part time Data Analyst/Engineer Freelancer. |

Aditya Chatterjee is a highly skilled Data and Analytics Engineer with over 7 years of experience in the Marketing Data Analytics domain. He is currently working as a Principal Data Engineer at Autodesk, where he is responsible for creating and maintaining analytical pipelines using the la

8.6

Years of Experience

Education

kiit university

Companies

autodesk, autodesk, autodesk, autodesk, accenture

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Email (Verified)

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Mobile Number

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Experience

2022 - Present
autodesk
Principal Data Engineer
My role encompasses the responsibilities of a Principal Data Engineer in the Marketing Analytics Team. The responsibilities include creation and maintenance of Analytical Pipelines using the modern tech stack of Data Engineering. The overall aim is to create Marketing usable datasets as Data Products and enrichment of the Marketing Data Analytics Cloud Warehouse. The tech stack that I use includes but is not restricted to AWS, Apache Spark, Hadoop, Hive, dbt, Matillion, Snowflake, Git, Jira. Jenkins. I am also certified with many industry recognised certifications from the above tech stacks.
2021 - 2022
autodesk
Senior Data Engineer
2020 - 2021
autodesk
Data Engineer
Experienced in Marketing Data Analytics domain as a Data Architect and Data Engineer of complex pipelines involving Digital Marketing datasets
2019 - 2020
autodesk
Software Engineer
In this role I have worked as a Bigdata Engineer responsible for Design, Build and Maintenance of DataLake using fault tolerant BigData tech stack.
2016 - 2019
accenture
Data Engineer
Worked in roles of a Bigdata and ETL developer for a Couple of clients . As a BigData Developer/Data Engineer I partnered with one of the giants in the construction software industry. My role encompassed the responsibilities of a Data Engineer responsible for the creation and maintenance of an Enterprise Data Lake. Leveraging the skillsets of Apache Spark, AWS and Hadoop I was involved in as a developer for all steps in the Agile Process of my team. As an ETL developer my role included the creation of ETL pipelines in IBM DataStage V11.0 ETL tool and creation and maintenance of a Data Warehouse in DB2 hosting Risk Data. The project was with one an American Financial Institution headquartered in Rhode Island.