Arun KatariaAK
Open to opportunities

Arun Kataria

@arunkataria

Technical Manager with 15 years of experience in Data Analytics

India

What I'm looking for

Looking for a challenging role that leverages my technical expertise in data analytics and machine learning to drive business growth and innovation.

As a seasoned Technical Manager with 15 years of experience in Data Analytics, I have managed delivery and architecture for data management, advanced analytics, and data science. My expertise lies in designing and architecting complex data solutions and analytics. I hold certifications from Harvard and Microsoft, and have a strong background in data engineering, machine learning, and data visualization.

I have a proven track record of managing teams and delivering high-performing results in data management and analytics. My skills include data engineering tools like ODI, Informatica, and Microsoft Synapse, as well as machine learning tools like R, OAC, and Gretl. I am proficient in data visualization tools like PowerBI, Tableau, and OAC.

I am a results-driven professional with a strong passion for data analytics and machine learning. I am always looking for opportunities to drive innovation and growth in the field of data science.

Experience

Work history, roles, and key accomplishments

Emerson Electric Co. logoEC
Current

Technical Manager – Data Management & Analytics

Emerson Electric Co.

Apr 2014 - Present (11 years 1 month)

As a Technical Manager, I manage delivery and operations for enterprise data warehouse management and analytics. I lead a team of 20, overseeing data architecture and strategy while implementing complex analytics solutions. My role involves driving data science initiatives and ensuring the uptime of ETL processes.

Education

Degrees, certifications, and relevant coursework

Guru Nanak Dev University logoGU

Guru Nanak Dev University

Bachelor of Technology, Computer Science & Engineering

2004 - 2008

Grade: 73.5%

Completed a Bachelor of Technology in Computer Science & Engineering, achieving a percentage of 73.5%. The program provided a strong foundation in computer science principles and engineering practices.

Tech stack

Software and tools used professionally

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