Data Engineer

Results-driven Data Engineer and Production Support Lead with 25+ years in IT, specializing in enterprise data-processing solutions. Expertise in ETL, database optimization, and system interaction. Strong analytical skills, adaptable team player.

• Airflow
• Amazon Web Services (AWS)
• Congos
• Google Cloud Platform
• Looker
• Microsoft Azure
• Postgresql
• Python
• Snowflake
• SQL

• Data Engineer / Production Support Lead / Production Support Engineer with over 25 years of experience in IT support/development of enterprise-level data-processing solutions.
• High skilled in interaction between different systems and data transferring between them (ETL).
• Very well versed with data flow analyzing.
• Experienced in improvement and refactoring of existing legacy databases and applications, their business logic optimization.
• Familiar with Information Data Warehouse and RDMS design concepts (OLAP, OLTP).
• Solid understanding of networking, server, and database principles.
• Has an experience in script programming for different platform.
• Skilled in efficient problem solving, able to discover root cause, area impacted, to compare different solutions and to propose the optimal one for data discrepancies problems or any other data issues.
• Strong troubleshooting skills with creative problem-solving abilities with attention to detail.
• Good analytical skills and ability to work with customer
• Perfect understanding of all stages of software development and support process.
• Good organizer, communicative, has strong leader skills.
• Flexible, independent team player in a high-pressure environment with changing priorities.
• Ability to quickly learn and adapt to changing needs.
• Good understanding of all stages of database administration and development.

Skills
• SQL, Python, Unix-shells
• Google Cloud Platform, AWS, Azure
• Airflow, IBM DataStage
• Snowflake, PostgreSQL, MS SQL, Azure Data Warehouse, DB2
• Windows, Linux
• funnel.io, Amplitude, Adjust
• Looker, Cognos