Chris Keshishian

Professional Summary

Senior data professional with 11+ years of hands-on experience designing and building enterprise-scale data infrastructure. Deep technical expertise in SQL and Python, with a focus on architecting scalable ETL/ELT pipelines, optimizing data warehouses, and implementing cloud-based data platforms. Proven ability to solve complex data challenges across healthcare and financial services industries.

Technical Expertise

Languages & Development: SQL (Expert), Python (Advanced), R, C#

Cloud & Infrastructure: AWS, Azure, GCP, Cloud Architecture

Database Systems: SQL Server, PostgreSQL, MySQL, MariaDB, Sybase, Snowflake

Data Engineering Tools: SSIS, Azure Data Factory, Apache Airflow, dbt, REST APIs

Analytics & Visualization: Tableau, Power BI, Looker, SSRS

Specializations: Analytics, Data Science, ETL/ELT Architecture, Data Warehouse Design, Performance Tuning, API Integration

Professional Experience

Director of Business Intelligence

March 2022 – Present

One Mnet Health | Birmingham, AL (Remote)

Data Platform Architecture: Design and implement enterprise data lake and data warehouse architecture using cloud-native technologies, serving as technical foundation for all reporting and operational systems
ETL/ELT Development: Build and maintain complex data pipelines using Python, SSIS, and SQL to orchestrate data movement from 20+ source systems through data lake to data warehouse
Cloud Infrastructure: Architect and deploy cloud data infrastructure on AWS including storage, compute, and orchestration components
Cloud Infrastructure: Champion data science and predictive efforts for internal tools and customer facing products
Technical Leadership: Provide technical guidance and code reviews for development team on data engineering best practices
BI Development: Design, develop, and administor Tableau and Power BI dashboards translating complex healthcare data into actionable insights

Key Projects:

Architected and built enterprise data platform from ground up on AWS, including data lake, warehouse, and ETL orchestration
Developed cancelation prediction algorithm to accurately predict liklihood of patients to cancel outpatient procedures
Archited dynamic call center campaign framework to route communication based patient behavior

Data Engineer

October 2021 – March 2022

Protective Life Insurance | Birmingham, AL

Infrastructure Modernization: Rearchitected legacy SSIS-based ETL processes to modern Python/SQL framework, improving maintainability and performance
API Integration: Developed REST API integrations to pull data from marketing platforms (Salesforce, Oracle Eloqua, Google Analytics) into centralized data warehouse
GCP Implementation: Designed and built GCP data platform from scratch including BigQuery, Cloud Storage, and Cloud Functions
Database Administration: Served as technical DBA for SQL Server environment, handling performance tuning, indexing strategies, and query optimization

Key Technologies: Python, SQL Server, GCP (BigQuery, Cloud Functions, Cloud Storage), REST APIs, SSIS

Senior Data Developer

April 2019 – October 2021

Surgical Care Affiliates | Birmingham, AL

Metadata-Driven Architecture: Architected and developed "Iris" flat file system, a metadata-driven platform that dynamically generates custom data feeds based on client configurations stored in config database
Application Database Design: Designed and implemented application databases for internal software products, applying normalization, indexing strategies, and performance tuning to handle high-volume transactional workloads
SQL Server Optimization: Collaborated with DBA team on performance tuning, index optimization, and version upgrades across all SQL Server instances
Database Administration: Rotated as on-duty DBA, troubleshooting production issues, monitoring system health, and implementing performance improvements
Technical Documentation: Created comprehensive technical documentation for data architectures and ETL processes

Technical Highlights:

Iris system reduced process integration times from weeks to hours through configuration-based approach
Improved query performance by 80% through strategic indexing and query rewrites
Maintained 99.9% uptime for critical data pipelines supporting 200+ corporate employees

BI Developer

January 2015 – April 2019

Surgical Care Affiliates | Birmingham, AL

ETL Development: Designed and developed SQL Server stored procedures, functions, and views for ETL processes ingesting clinical, financial, and claims data from 100+ source systems
Data Warehouse Development: Built and maintained enterprise data warehouse using dimensional modeling techniques (star/snowflake schemas) supporting financial and operational reporting
Custom Integrations: Created custom data feeds and APIs to integrate with third-party applications including SIS, HST, Cerner, and proprietary billing systems
Performance Monitoring: Developed diagnostic queries and monitoring dashboards to track ETL performance, data quality, and system health
Data Quality: Implemented validation frameworks ensuring accuracy of financial data used for regulatory reporting

Technical Environment: SQL Server, T-SQL, SSIS, SSRS, Healthcare HL7/FHIR Standards

Education

Bachelor of Science in Commerce and Business Administration

The University of Alabama

Graduated December 2014 | Major: Management Information Systems | Minor: Business Information Technology

Technical Highlights

11 years developing and optimizing relational databases and data warehouses
Expert-level SQL including advanced T-SQL, window functions, CTEs, query optimization
Healthcare data expertise including clinical, claims, and financial data standards
API development experience building and consuming REST APIs for data integration
Strong troubleshooting skills for diagnosing and resolving complex database performance issues
Cross-functional collaboration with data scientists, analysts, and application development teams

CHRIS KESHISHIAN