Data Analytics Technical Lead with extensive hands-on experience in Databricks, including advanced data engineering, lakehouse architecture, and performance optimization, supported by relevant Databricks certifications. Proven expertise leading enterprise-scale analytics initiatives across modern cloud and big data platforms.
Well-rounded background spanning the full analytics ecosystem, including:
AI/ML solutions and predictive analytics
Data warehousing and ETL/ELT modernization
Business intelligence and visualization tools such as Power BI and Tableau
Cloud platforms primarily AWS
Real-time and batch data processing frameworks.
Strong leadership experience managing and mentoring cross-functional analytics and engineering teams, driving delivery excellence, stakeholder alignment, and scalable data strategy execution. Adept at bridging technical implementation with business objectives to deliver actionable insights and enterprise data transformation outcomes.
Proven technical leadership in designing and delivering scalable, end-to-end analytics and data engineering solutions leveraging Databricks, Delta Lake, PySpark, SQL, and AWS cloud services including S3, Glue, Lambda, Kinesis, and Redshift. Extensive experience building and optimizing batch, real-time, and streaming ETL/ELT pipelines within modern lakehouse architectures.
Strong expertise in hands on implementation of secure, high-performance, and cost-efficient cloud data platforms with a focus on data quality, governance, lineage, observability, and CI/CD-driven DevOps practices. Hands-on experience with advanced Databricks capabilities including Delta Live Tables (DLT), Unity Catalog, Workflows, and performance tuning of distributed Spark workloads.
Experienced in supporting enterprise AI/ML, analytics, and reporting initiatives through curated and scalable datasets, with deep knowledge of visualization and BI platforms including Power BI and Tableau.
Recognized leader with a track record of mentoring engineering teams, driving delivery excellence, establishing best practices, and collaborating cross-functionally with architects, data scientists, BI teams, security, and business stakeholders to align technical solutions with enterprise data strategy and business objectives.
Holds Databricks Certified Data Engineer Professional certification along with strong expertise across modern analytics ecosystems and cloud-native data platforms.
Allwyn Corporation, headquartered in Washington DC, was founded in 2003 with a mission to help customers solve complex technology problems by bringing tools, technologies, experienced resources, processes, methodologies and project delivery expertise to the table. Our goal is to enable our clients stay competitive in the global marketplace by helping them implement high quality, cost efficient software products and IT applications. Our key differentiators are our approach, attitude and the top notch intellectual capital we deploy that will work as an extended arm of your organization to get the job done. COMPANY CULTURE: - Be respectful of everyone, regardless of their position in the organization. - Be someone that your team members can count on. - Be serious about your commitments to others’ in your organization. - Respect your time and others’ time by being punctual. - Be honest in communicating what you can and cannot do. - When in doubt, ask. Do not assume or fear what perception asking a question may cause. - It is not enough to limit ourselves to delivering a task… try to understand the need and how what you produce is going to be used by the customer. - Communicate efficiently and effectively orally and in writing. - Be willing to try things outside your comfort zone and job description. - Be committed to doing what is good for the organization. - Stay curious to learn – always… If you are passionate about creating software product solutions, send us your resume. We are always looking for talented software professionals who care about quality. [email protected]
Key team members
Rod Allsopp
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