Summary
Pavel Vitis is a seasoned data engineer with 11+ years at IBM, currently designing DataVault 2.0 pipelines for Philip Morris International using Snowflake, WhereScape RED and AWS serverless tools. His background spans deep BI and ETL expertise (DataStage/QualityStage, DB2, Informix, DashDB) combined with hands-on development in Java, Python, C++ and shell scripting. He has led teams and delivered complex replication and consolidation proofs-of-concept with tight operational constraints, plus built ingest and mass-document parsing layers from scratch in Python. IBM-certified and comfortable across mainframes, Unix/Linux and Windows stacks, he often bridges low-level systems knowledge (x86 assembler, WinAPI) with high-level data platform design. A pragmatic problem-solver, Pavel has repeatedly optimized SQL/ETL performance and automated administration tooling to reduce operational impact in production environments.
11 years of coding experience
10 years of employment as a software developer