Senior Data Engineer

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Cloud-Based Data Expertise: 7+ years of experience building and supporting ETL/ELT pipelines in AWS, leveraging Snowflake, Airflow, Glue, and other cloud-native technologies

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Full-Stack Data Solutions: Combines deep data engineering skills with experience in application architecture (AWS), BI tool development, and data warehousing to deliver comprehensive data solutions.

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Automation & Efficiency: Proven ability to automate processes, including ETL pipeline monitoring and team communication, using tools like Slack APIs and custom scripts.

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About Senior Data Engineer

A highly experienced data professional with 7+ years specializing in ETL/ELT processes using Snowflake, Airflow, and AWS cloud technologies. Background includes Data Lake support, application architecture (50+ AWS services), cost optimization, and BI tool development (Sisense, QuickSight, Power BI, Tableau). Proficient in data warehousing, SQL (17+ years), and software development (20+ years). Also skilled in QA automation, system administration (Windows/Linux), and Agile methodologies (Jira). Adept at creating automated solutions for process alerts and team collaboration.

Skills

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Languages:

Python – SQL – Pandas – PySpark – Java – VBA/VB – .Net
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Data Pipelines:

AWS (Redshift, Athena, Glue, S3, Data Pipelines) – Airflow – Xplenty SnowFlake – DBT – APIs
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SQL:

PostgreSQL – MSSQL – Oracle – MySQL – Redshift
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BI Tools:

Sisense – PowerBi – Tableau – AWS Quicksight
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Git:

Github, AWS CodeCommit, Gitlab
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Agile Methodologies:

SCRUM – Agile – Kanban – Jira & Confluence – Azure – DevOps Regex – MongoDB – Java Script/TypeScript – Cypress – Selenium – VPNs – Jenkins – Grafana (ElasticSearch) – Docker – Kubernetes – Slack –Sys Admin Linux and Windows – MS Office – Big Data