
Archit Verma
Verified Expert in Engineering
Data Engineer and Developer
Noida, Uttar Pradesh, India
Toptal member since September 13, 2024
Archit is a seasoned professional with over a decade of hands-on experience in end-to-end data engineering solutions on cloud, data, and API integrations. He is adept at guiding projects from initial estimations through design to implementing fault-tolerant, complex data pipelines for large-scale systems. Archit specializes in utilizing on-premises and cloud-stack services, with expertise in AWS and Azure cloud platforms.
Portfolio
Experience
- Python - 6 years
- SQL - 6 years
- PySpark - 6 years
- Apache Airflow - 6 years
- AWS Glue - 5 years
- AWS Step Functions - 5 years
- Adobe Experience Platform - 4 years
- Node.js - 4 years
Availability
Preferred Environment
Slack, Mail
The most amazing...
...thing I've done is build a data processing framework to handle the data needs of customers.
Work Experience
Senior Data Engineer
Adobe
- Led the architecture of the Consultant Workbench platform, which is a data analysis platform for data architects within Adobe Consulting. The platform automates the entire data analysis journey by automating tasks on customer data.
- Created a GraphQL based API system as a middleware between the front end and back end for the eCommerce platform using Node.js and Adobe I/O Runtime.
- Created a framework to automate the data ingestion and data processing using services such as AWS Glue, AWS Lambda, AWS Step Functions, AWS Secrets Manager, and Amazon S3.
Experience
Consultant Workbench
Education
Bachelor's Degree in Information Technology
Dr. APJ Abdul Kalam Technical University - Lucknow, India
Certifications
Azure Data Engineer Associate
Microsoft
Adobe Qualified – Adobe Experience Platform
Adobe
AWS Certified Cloud Practitioner
Amazon Web Services
Skills
Libraries/APIs
Node.js, PySpark
Tools
Apache Airflow, AWS Glue, AWS Step Functions, Jenkins, AWS CloudFormation, Slack
Languages
SQL, Python
Platforms
AWS Lambda, Adobe Experience Platform, AWS IoT
Other
Data Warehouse Design, Data Warehousing, Data Analytics, Data Engineering, Mail, Computer Science, Data Science
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