Senior Data Engineer

Summary

I'm a Senior Date Engineer with 15 years of experience in the technology industry. I have successfully designed, and deployed multiple scalable and high performant automated data ingestion pipelines at fast growing companies. I work with a ownership and innovative mindset. I'm experienced in Google Cloud, and Amazon AWS. Expertise in Google Cloud Functions, BigQuery, Dataflow, Pub/Sub, Vertex AI, Cloud Storage, Python, SQL, Scripting, JSON, and APIs. Strong knowledge of Redshift, Snowflake, and Databricks. Built end-to-end data ingestion pipelines that supported enterprise data analytics, data science, and products. Expertise in data warehouse design, concepts, and structures. Used complex SQL queries, CTEs to solve analytics problems. Practiced best practices of data architecture, and data engineering. Expertise with data visualization platforms Looker and Tableau. Experienced working with bigdata technologies, Spark, and Hadoop. Expertise with databases (RDBMS and NoSQL) including PostgreSQL, MySQL, MongoDB, Firebase. Strong knowledge of data lakes, and delta lakes . Used Agile development methods including Scrum and Kanban.

Expectations

I'm looking for an opportunity to grow with the company and my career

Employment Preferences

Expected Base Salary

**9,999 USD

Academic Degree

Experience

Skills

• GCP
• Cloud Functions
• BigQuery
• Dataflow
• Pub
• SUB
• Vertex AI
• Cloud Storage
• AWS
• BigData
• SageMaker
• Glue
• Apache Spark
• Amazon EMR
• S3
• Hadoop
• Spark
• Programming
• Python
• SQL
• Shell Scripting
• Pandas
• Numpy
• Scikit
• Tensorflow
• Notebooks
• GitHub
• Svn Data
• Visualization
• Oracle
• MySQL
• JSON
• APIs
• Looker
• Tableau
• PowerBI
• Enterprise Apps
• Linux
• Jira
• Confluence
• Google Apps
• Microsoft Office Suite
• Certifications
• Google Certified Professional Data Engineer
• AWS Certified Machine Learning Specialty