About Jack Korinek
I bring over two decades of experience as a Data Professional, specializing in designing and implementing sophisticated data solutions that drive business growth and elevate decision-making processes. As a seasoned Data Scientist, Data Engineer, and Data Analyst, I have honed my skills in leading cross-functional teams, optimizing data processes, and ensuring the highest standards of data integrity.
My expertise lies in conceptualizing and executing cutting-edge data architectures that not only meet current business needs but also lay a strong foundation for future scalability and innovation. I excel in analyzing complex data environments, identifying opportunities for improvement, and implementing strategic solutions that deliver tangible results.
Moreover, I have a proven track record of collaborating closely with stakeholders to understand their unique requirements and translate them into actionable data strategies. This collaborative approach has consistently led to successful outcomes, from enhancing operational efficiency to driving revenue growth.
In summary, I am a results-driven Data Architect, Data Scientist, Data Engineer, and Data Analyst with a deep understanding of data technologies and a passion for creating impactful solutions that empower organizations to thrive in today's data-driven landscape.
Expert Data Visualization Services
Technology Summary
Cloud: AWS (Redshift, S3, Glue, Lambda, CLI, RDS, EMR, VPC), Azure (Synapse, Blob, Data Factory, Functions, CLI, VNet)·
Languages: PostgreSQL, MySQL, Oracle, T-SQL, Python, Bash
Data Models: Conceptual, Logical, Physical, Hierarchical, Network, Relational, Dimensional, Object-Oriented, Document, Graph, Columnar, Key-Value
Doc’s and Diagrams: Architect Diagrams, Data Dictionary, ETL Process, Data Flow Diagrams, Data Governance Policies, Data Integration, Data Lineage, Metadata Management, Technical Specifications
Databases: Snowflake, SQL Server, Postgres, Oracle, MySQL, Aurora, DynamoDB, MongoDB, Cassandra, Redshift, MariaDB
ETL: Glue, Data Factory, Apache Airflow, Informatica PowerCenter, IBM DataStage, SSIS, Oracle Data Integrator, Fivetran
Data Analytic Tools: Tableau, Power BI, Hadoop, Pyspark, Databricks, Matplotlib, PyTorch
IDE’s: PyCharm, VS Code, Spyder, Jupyter, Atom
Operating Systems: Windows 7, 10, 11, Linux (Ubuntu, Debian, Kali Linux, Mint)
Productivity Software: M365 Office, Google Workspace