The ACI Group, Inc.

DevOps Engineer

• Providing direct support to engineering platforms and microservices used to develop critical applications to modernize how data is leveraged across multiple DoD customers
• Developing infrastructure, task automation, provision managed services, and leveraging Python, Ansible, and Terraform programming languages
• Patching, hardening, and maintaining compliance of RHEL
• Installing, configuring, and providing performance support for Kubernetes, Docker, Nifi, and cloud metrics collection tools
• Managing CI/CD pipelines to automate building, testing, and deploying code utilizing GitLab
• Managing commercial cloud computing platforms (AWS)
• Communicating and collaborating effectively with other team members, as well as with stakeholders

DevOps Engineer, TS/SCI with CI Poly Clearance

Accounting Manager

• Assist with serving Medicaid and public healthcare programs
• Lead a team responsible for managing high-volume drug rebate submissions, client reporting, and payment reconciliation
• Supervise day-to-day operations of the Drug Rebate team, ensuring accuracy, timeliness, and compliance across all processes
• Monitor and track team KPIs to meet service-level agreements and maintain client satisfaction
• Review and analyze weekly rebate reports, identifying discrepancies and driving data integrity
• Serve as the escalation point for complex rebate issues, interfacing directly with internal stakeholders and clients
• Support hiring, onboarding, and training of team members and coaching for growth and performance
• Collaborate with management on process improvements and strategic planning

Accounting Supervisor

Data Engineer

• Develop, maintain, and test infrastructures for data generation to transform data from various structured and unstructured data sources.
• Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure. Create and maintain optimal data pipeline architecture.
• Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration.
• Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig.
• Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
• Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
• Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs.