Part of a team that is building the Medicaid insurance company of the future to provide tech-enabled, world-class care to the nation's most underserved populations. • Serve as lead data engineer & hands-on data engineering leader/manager• Design, build, and continually enhance the functionality of our data ecosystem while working closely with software engineers, data scientists, and dev ops• Lead the design and development of data pipelines to ingest, store, transform, and catalog structured and unstructured data from a variety of internal and external sources• Work with business partners to scope, build, and expose data products for business consumption• Identify, maintain, and help enforce the highest standards for data hygiene and cataloging• Establish, infuse, and enforce engineering rigor into all aspects of the data lifecycle.• Payroll automation, reducing the work from a full day of manual calculation that is prone to errors to 1 min with systems and flags in place that catches potential errors.• Building, maintaining and owning 100% of bash pipelines, 40+ total pipelines.• QNXT Claims Workflow Data Reporting.

• Using Apache NiFi, Building pipelines to move 6 to 8 billions daily transactions from different sources either streaming or non streaming sources including but no limited to SQL Server, Oracle, RedShift, API, Kafka, Hadoop, SFTP (logs, csv, txt, json...) or Syslogs to a data lake either as kudu, parquet or both or kafka topic or Molecula in real time or schedule based.• Mitigate certain areas that are missing from Apache NiFi using python custom script or replacing certain processors that are not performing to a level to handle the amount of the data with custom build processors.• Automate data movements to include recreating the schema from the source and copying it to the destination to host the coming data.• Develop and implement data integrations; include data cleaning, normalization, schema structure, and retention practices utilizing industry leading techniques.• Train team members on alternative ways to move data from source to destination based on the goal, frequency and size using Python or Apache NiFi or mix of both.

• Designed, constructed, installed, tested and maintained highly scalable data management systems.• Recommended, installed, and supported Python packages to improve analytics and modeling processes.• Built high-performance processes and automated predictive models.• Researched opportunities for data acquisition and new uses for existing data.• Developed and own data-capture and ETL processes for data modeling, mining and production.• Implemented software controls to ensure new models remain compatible with existing production environment• Employed a variety of tools to marry systems together.• Collaborated with data architects, modelers and IT team members on project goals.• Audio to text and run sentiment analysis on the output for customer calls experience and quality control.

• Design, implementing, install, test and maintain ETL processes query processing and manage data lineage/quality• Engineer re-usable components for structured data processing encompassing cleaning, transformation, missing data correction, entity resolution and relationship linkage• Support implementation of pipelines for unstructured data including deduplication, classification, semantic clustering, topic modeling and entity/relation extraction

• Optimized Jenkins workflows for data extraction and application deployment• Expanded ETL/DML/DDL through an in-house Python framework and AWS services• Troubleshot data/model issues for multiple client sources across a variety of DB servers• Supported and created additional functionality for an in-house data validation web app (Veritas)• Integrated both standard and custom SIS/LMS client solutions to our internal data mappings

• Configure, built and maintain bazaarvoice social analytics internal platform and tools under an AWS/EC2 instance using Python PHP, SQL, Ajax, Jquery, CSS, HTML and JavaScript. • Responsible for the data extract, load, and transform (ETL) development, data modeling, data development, and data handling to support customer reporting using python • Extensive experience and capability in documenting, tuning, managing, and scheduling large libraries of ETL jobs. • Writing SQL queries (via MySQL) • Delivering business insights from data using excel/pivot tables/charts • Work closely with a customer delivery teams with mixed backgrounds (business & sales, mathematics & predictive analytics) • Provides recommendations for technology and process changes. • Database administration functions such as performance, security, backup & restores, schema migrations, and normal maintenance.

• Ensured the quality and accuracy of Google Maps• Generated online reports and created dashboards utilizing complex SQL queries and Excel• Troubleshot Google Maps databases using SQL queries to find patterns, suggest solutions, train others on improvements• Tracked individual productivity and quality across teams and reporting on metrics.• Created software to facilitate the sharing of reports and forms to collect feedback and to minimize number of clicks using Python, Django, Google API, HTML, jQuery, CSS and JavaScript• Participated in the full software development lifecycle.• Tracked individual productivity and quality across teams and reporting on metrics.• Conducted focus groups in French with Google Maps users in France and Canada to demo the platform,answer questions, and gather feedback to report to Google management.