Data Architect, Data Engineer, Data Scientist

Hankie Malawo

Phone: 571-***-****

Email: ******.*.******@***.***

www.linkedin.com/in/hankie-malawo

Professional Summary

Seasoned Data Analyst, Data Engineer and Architect with over 15 years of experience in designing and implementing large-scale, high-performance data systems. Adept at managing and optimizing complex data environments to support diverse business needs, including the integration of heterogeneous data sources and the automation of data processes. Proficient in collaborating with multidisciplinary teams to deliver scalable, reliable, and efficient data solutions. Proven expertise in system design, data processing pipelines, and performance optimization, with a strong focus on automation and best practices. Committed to mentoring team members and driving organizational excellence through innovative solutions.

Education

Master’s degree in computer and information sciences Boston University - School of Management

Bachelor’s in computer science Evelyn Hone College

Active Secret

Interim Top Secret

Technical Skills

Data Engineering & System Design:

oExpertise in collecting, standardizing, and organizing heterogeneous data from diverse sources, including unstructured text, images, and tabular data.

oProficient in large-scale system design, ensuring scalable, reliable, and performant data systems.

Data Processing & Optimization:

oSkilled in Python, including data processing libraries such as pandas, and distributed computing frameworks like Dask.

oPerformance optimization for data storage and serving, enabling increased scale and velocity of data processing.

Automation & Efficiency:

oStrong ability to identify inefficiencies and opportunities for automation, creatively addressing problems to enhance system functionality.

oExperience in building tools and systems that reduce manual work through automation and efficiency improvements.

Collaboration & Mentorship:

oProven track record of working closely with data scientists, geoscientists, and software engineers to generate high-quality, accessible data.

oExperience mentoring team members on automation, best practices, and scalable system design.

Cloud Platforms:

oAWS (RDS, S3, Lambda, etc.), Azure (ADF, Azure Synapse, Databricks)

oExpertise in cloud computing, focusing on optimizing workflows and ensuring efficient data services through cloud platforms.

Data Transformation & Storage:

oApache Kafka, Apache Hadoop, Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage.

oData storage expertise in relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.).

Data Visualization:

oTableau, Power BI, and Amazon Quicksight.

Work Experience

Department of Defense (DoD) - Defense Health Agency (DHA) December 2024 To-Date Fort Detrick, MD

Senior Data Engineer and Architect

As Data Architect and Data Engineer positions within the Department of Defense (DoD) Defense Health Agency (DHA), I conjecture the roles and responsibilities based on similar positions within the DoD and general industry standards.

Data Architect

A Data Architect in the DoD DHA is responsible for designing and managing the organization's data architecture to support healthcare operations and decision-making processes. Key responsibilities likely include:

Data Architecture Development: Establishing and maintaining a data architecture framework that aligns with the DHA's strategic objectives, ensuring data is organized, accessible, and secure.

Data Modeling: Creating and optimizing data models to support the integration and analysis of healthcare data, facilitating effective data management and utilization.

Data Governance: Implementing data standards and policies to ensure data quality, consistency, and compliance with relevant regulations, such as HIPAA.

Collaboration: Working closely with stakeholders, including IT teams and healthcare professionals, to understand data requirements and implement solutions that support clinical and administrative functions.

Data Engineer

A Data Engineer in the DoD DHA focuses on building and maintaining the infrastructure required for optimal extraction, transformation, and loading of data from various sources. Typical responsibilities include:

Data Pipeline Development: Designing and implementing scalable data pipelines to process and integrate healthcare data from diverse sources, ensuring timely and accurate data availability.

Database Management: Developing and managing database systems to store and retrieve healthcare data efficiently, supporting analytics and reporting needs.

Data Quality Assurance: Implementing processes to monitor and improve data quality, ensuring the reliability of data used for decision-making and patient care.

Collaboration: Partnering with data architects, analysts, and other stakeholders to understand data needs and develop solutions that enhance data accessibility and usability.

Both roles are critical in supporting the DoD's data strategy, which emphasizes the importance of data as a strategic asset and outlines the need for proper data stewardship and management to enhance decision-making capabilities.

Accenture Federal Services March 2020 – December 2024 Washington, DC

Manager, Data Architecture and Business Process

Department of Energy

Senior Data Engineer and Architect (Accenture Consultant)

Lead the reengineering and enhancement of the CHART (Electric Motor Vehicle Charging Stations) database.

Migrate data from previous databases version to the new and revised database

Developed complex SQL queries to populated application dashboards for the from end-applications

Work cross-section with front-end developers in developing robust API SQL used in the front end functions.

Developed and deployed interactive dashboards using Tableau and Power BI, enabling decision-makers to gain actionable insights from complex data.

Utilized Python libraries such as Matplotlib, Seaborn, and Plotly to perform advanced data visualization, presenting clear trends and forecasts.

Conducted in-depth data analysis using Excel and Python to support strategic initiatives and optimize operational processes.

Collaborated with cross-functional teams to translate business requirements into dynamic and user-friendly reports and dashboards.

Created automated reporting systems, reducing manual efforts and increasing efficiency in data retrieval and visualization.

Mentored team members in best practices for data visualization and dashboard development, promoting consistency and accuracy across all reports.

Department of Veterans Affair

Manager Data Migration (Accenture Consultant)

Lead the modernization of data systems for federal agencies, focusing on migrating legacy systems to cloud-based platforms and implementing scalable data processing pipelines.

Collaborate with multidisciplinary teams to build tooling for field operations, including dashboards, visualizations, and integrations with third-party software.

Drive automation and efficiency improvements across projects, reducing manual workloads and optimizing data processing systems.

Mentor and evangelize best practices in automation and system design, ensuring high performance and reliability across all data initiatives.

Developed front-end reporting and data analysis tools management and users to have visibility of data trend, key performance indicator and data quaily.

Prepared data extracts and process that suported data science and artificial intelligence activities.

Department of Justice

Senior Data Architecture (Accenture Consultant)

Managed the refreshment of Data Warehouse by ensuring that the daily refreshment went without incidents.

Ensured tha data within the warehouse met the enterprise business rules. Worked closely with the Data Governance Team in monitoring new data was in compliance with the Data Governance business rules.

Team member for deploying upgraded prisons database to all 93 districts withing the United States.

Managed Elasticsearch indexes for the front end application.

Centers for Disease Control and Prevention (NCHS)

Lead Data Architect

January 2019 - March 2020 Hyattsville, MD

The Lead Data Architect at the CDC’s National Center for Health Statistics (NCHS) was responsible for leading the development and implementation of data architecture strategies that support the collection, management, and analysis of national health data. This role involved working with stakeholders across the CDC and partner organizations to ensure that health data systems are scalable, secure, and capable of meeting the evolving needs of public health research, policy development, and program evaluation.

The Lead Data Architect played a key role in defining data standards, managing metadata, ensuring data quality, and facilitating the integration of health data from multiple sources. This position also lead efforts in improving data interoperability, storage, and retrieval systems while ensuring compliance with privacy regulations and industry standards.

Lead the design, development, and optimization of data architecture solutions to support NCHS's mission in collecting, managing, and disseminating national health statistics.

Develop and implement data management strategies that align with NCHS’s data governance framework, ensuring compliance with federal regulations and best practices in health data security and privacy (e.g., HIPAA).

Lead efforts to define and enforce data standards, metadata management, and data modeling techniques to enhance data interoperability and integration across various health systems.

Work closely with cross-functional teams to understand data needs and provide architectural guidance to improve the collection, processing, and reporting of health statistics.

Oversee the development and maintenance of health data warehouses and data lakes, enabling the integration of multiple data sources, including surveys, administrative data, and clinical records.

Ensure data quality by implementing automated processes and validation tools for data accuracy, completeness, and consistency.

Collaborate with internal and external partners to implement and support data-sharing frameworks, ensuring secure and efficient data exchange for public health research and policymaking.

Provide leadership and mentoring to junior data architects, analysts, and developers, fostering a collaborative environment for skill development and knowledge sharing.

Stay current with emerging technologies and trends in data architecture, analytics, and health informatics, applying these innovations to improve data systems and solutions.

Provide expert guidance on data architecture best practices, technology choices, and tools to support both current and future NCHS initiatives.

Department of Health and Human Services (HHS)

Senior Enterprise Data Architect

April 2018 - December 2018 Washington, DC

As Senior Enterprise Data Architect lead the design, development, and implementation of a comprehensive enterprise data architecture strategy to support HHS’s mission of protecting the health and well-being of all Americans. This position worked closely with various departments within HHS to ensure data governance, security, integration, and accessibility align with industry standards and regulatory requirements.

Lead the design and development of HHS’s enterprise data architecture, ensuring scalable, efficient, and secure data management solutions.

Collaborate with stakeholders across HHS to understand data needs and develop architecture solutions that support data integration, storage, and utilization.

Define and enforce data governance policies and procedures to ensure data quality, integrity, and compliance with federal regulations such as HIPAA.

Develop data models, strategies, and blueprints that align with HHS’s long-term objectives and technology roadmap.

Provide technical leadership in the selection and implementation of data management platforms and tools, such as cloud services, databases, and analytics solutions.

Work with cross-functional teams, including data scientists, engineers, and IT professionals, to create seamless data flows across the organization.

Analyze current data architecture to identify opportunities for improvement, cost savings, and innovation.

Ensure that data architectures are aligned with HHS’s goals for interoperability, scalability, and performance.

Mentor junior data architects and engineers, sharing expertise and best practices.

Stay current with emerging technologies and trends in data management, and incorporate them into HHS’s data architecture strategy.

USAID – Lead Data Architect & eHealth Technical Advisor (Consultant for DAI)

Deployment: Haiti, Port Au Prince

Washington, DC

6 Months Contract – September 2017 - April 2018

Lead the technical data proposal bid preparation for DAI bid proposals for Health Information System Strategy from USAID funding.

Document share proposals of mitigations, design and implement solutions that would be implemented to further improve the health informatics system for MSPP by enforcing strategies that improve, quality, standards and maintenance of data.

• Provide support in database architecture of the organization through database design, modeling and implementation

• Develop plans, strategies and standards for data within the enterprise

• Understand the end-to-end scope of work and design architectural solutions accordingly

• Integrate all data in the data management platform enabling accessibility

• Ensure that the database base is secured and updated

• Partner with all other teams (database management team, software development team, designers) and users to provide best solutions by maintaining the best standards of practice

• Oversee that the database back-up and recovery system are available in the enterprise for current and future use, including a potential crisis time

• Control and maximize the data resources and processes within the organization

• Use database design and database modeling concepts to ensure data accessibility and security

• Understand the future requirements and model database concepts accordingly

• Engage junior resource in all scopes of work as a means for capacity building and skills transfer

• Support the organizational data warehouse through appropriate utilization of ETL tools

Centers for Disease Control and Prevention (Health Informatics in Zambia)

Technical Advisor - Health Informatics Data Architecture

March 2010 - September 2017 Atlanta, GA

The Technical Advisor - Health Informatics Data Architect lead efforts in designing, developing, and implementing health data architecture solutions that support the Centers for Disease Control and Prevention (CDC)'s HIV and PEPFAR programs in Zambia. This role focused on developing and optimizing health informatics infrastructure, ensuring data integration, interoperability, and security in support of public health initiatives. The position collaborated with stakeholders from government, non-governmental organizations (NGOs), and international partners to improve the quality, accessibility, and usability of health data for better decision-making in HIV/AIDS prevention, treatment, and care.

Lead the design, implementation, and optimization of data architecture systems supporting HIV and PEPFAR-related health informatics initiatives in Zambia.

Develop scalable and secure data models to ensure the effective management and integration of health data from multiple sources (e.g., clinical, laboratory, surveillance, and reporting systems).

Design and enforce data governance protocols to ensure compliance with data privacy and security standards, including CDC and PEPFAR regulations, and local data protection laws.

Ensure seamless interoperability between health information systems, including electronic health records (EHRs), laboratory information systems (LIS), and data reporting systems.

Provide technical leadership in the selection and implementation of health data management platforms, including cloud solutions, databases, and analytics tools.

Collaborate with CDC, local health authorities, NGOs, and other stakeholders to identify data needs and develop architecture solutions that support real-time decision-making and reporting.

Develop data standards and guidelines to ensure high-quality, accurate, and consistent health data, supporting the integration and analysis of HIV/AIDS data.

Support data-driven approaches for the monitoring and evaluation of HIV programs and public health interventions.

Mentor and provide technical guidance to local data teams and health informatics professionals, building local capacity for sustainable health data management practices.

Stay up to date with the latest trends and technologies in health informatics, data architecture, and global health initiatives, applying these innovations to enhance program outcomes.

Additional Information

Cloud Platforms (AWS, Azure): Key for all roles, including designing and managing cloud-based data architectures (S3, EC2, RDS, Redshift, Glue, Kinesis, Data Factory, Synapse), building and deploying machine learning models (SageMaker, Azure ML), and handling ETL processes and data lakes.

Programming (Python): Central for automation, data pipelines, ETL processes, and AI/ML model development (using libraries such as TensorFlow, PyTorch, and scikit-learn).

Data Processing (Spark): Crucial for handling large-scale data efficiently across all roles, especially for distributed systems, big data pipelines, and AI model training.

Databases (SQL): Essential for querying, managing, and optimizing relational databases, preprocessing data, and handling complex transactional data.

Visualization (Tableau/Power BI): Important for presenting data architecture, analysis, and models to stakeholders, as well as for building insightful dashboards and reports.

Strengths:

System design, data optimization, and automation (Data Architect, Data Engineer).

Mentorship and cross-team collaboration (AI/ML Developer).

Ensuring efficient processes across teams, streamlining operations, and optimizing system performance for all roles.

Contact this candidate