Avinandan Singh

Senior Data Analyst at Molex

Based in Bengaluru, India

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Seniority

Staff

Department

Information Technology

Location

Bengaluru

Industry

Appliances; Electrical; and Electronics Manufacturing

Company size

14K

Contact information

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Email

1 credit

a•••••••@molex.com

Phone

5 credits

+91 ••• •••• ••••

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Background

About Avinandan Singh

With 2.5 years of experience in Power BI and Tableau, I am a versatile Data Analyst currently balancing dual roles in Business Intelligence (BI) and Data Engineering (DE). In my BI role, I excel in utilizing Power BI, leveraging tools like Tabular Editor for advanced calculation groups, and delivering insightful, data-driven solutions. My DE responsibilities involve working with Matillion on AWS, where I manage data transformation processes and ensure seamless data integration.Business Intelligence Expertise- Proficient in Power BI and Tableau for data visualization and reporting- Experienced with various data sources, including AWS Athena, Redshift, Microsoft CRM, SQL Server, and Snowflake- Utilized Tabular Editor as an external tool in Power BI for creating calculation groups.Data Engineering Skills- Currently working with Matillion on AWS for ETL processes- Intermediate SQL proficiency for data engineering tasks- Skilled in Python for creating functions, ingesting data via APIs, and interacting with S3 buckets using AWS Boto. Additionally, I conduct Exploratory Data Analysis (EDA) in Python- Familiar with DE tools like Postman for API testing, Terraform for resource deployment on providers, and CI/CD practices.Technical and Methodological Proficiency- Extensive experience with agile tools like Azure DevOps (ADO)- Recently undergone extensive upskilling in Apache Spark and Azure Databricks, adding big data capabilities to my skill set.I am passionate about leveraging my new big data skills and am actively seeking opportunities to apply these in my current organization and explore new possibilities outside. My goal is to drive innovation and efficiency through advanced data analytics and engineering.

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