Alex Anthony
BI | Data Engineer at Amazon
- Role
- Data Engineer, People Insights at Amazon
- Location
- Chennai, TN, IN
- LinkedIn followers
- 500 followers
About Alex Anthony
Data EngineerData Engineer with 6+ years of cumulative experience in Data warehousing, ETL Development, Data Visualisation, Reporting, Data ingestion, Data Quality, Cloud solutions like AWS, SQL, Market Research, and Supply chain defect elimination operations. Highly effective at working backward, attention to detail, and organizational skills which enables me to think from various perspectives and helps to deliver scalable solutions to end-customer and possess a strong desire to work with huge data sets.Key competencies:Amazon Web Services (AWS), AWS Simple Storage Service (S3 Bucket), Redshift Spectrum, Amazon Quick Sight, AWS Glue, AWS Athena, IAM, Amazon Lambda, AWS Cloud Watch, Data Modeling, Data warehousing, ETL development and building ETL pipelines, Python, Pyspark, Data Lake, Data Warehousing with Oracle, Redshift or PostgreSQL, SQL, MySQL, SQS, SNS, UNIX, Customer profiling, AWS, Cloud computing, Data Analysis, VBA, Data Pipeline.
Experience
Data Engineer, People Insights
Nov 2022 — Present · Chennai, IN
Designed and implemented multiple ETL pipelines to automate data ingestion and distribution across teams, and also to build other services, data analysis, and insights • Implemented infrastructure as code (IaaC) solutions to create, deploy and govern cloud resource management for applications/services, and automated application deployments using Cloud Development Kit (CDK) Typescript code• Upgraded existing applications to Typescript CDK version 2 as version 1 reached the end of life• Hands-on experience with continuous integration and continuous delivery/deployment• Collaborated with the Product manager, technical program managers, and engineers across departments to gather business requirements, and developed workable items• Worked in building SQL/ETL pipeline for data ingestion, data transformation, and data validation on AWS and On-Prem host• Developed a data pipeline for cluster maintenance to extract table metadata to discover unused tables and no sort key. This initiative aims to enhance overall performance, reclaim valuable space, and resize clusters for cost optimization. and has successfully identified 150+ unused tables in the last 30+ days that occupies 54TB space
Education
Simplilearn Alumni
SysOps Administrator, AWS
Simplilearn Alumni
Solutions architect, AWS
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