Denton, Texas, United States
✨ I am a Data Engineer with 5+ years of experience designing and scaling modern data platforms, enterprise data integration solutions, and cloud-native architectures across GCP, Azure, and AWS. I specialize in building end-to-end ETL/ELT pipelines, real-time streaming systems, and lakehouse platforms that transform fragmented data into reliable, scalable, and high-performance analytics ecosystems. My focus is on data integration, architecture design, governance, and automation, delivering measurable business impact through modern data engineering practices. 🚀 Here’s what I do best: • Design and optimize scalable ETL/ELT pipelines and data integration workflows using Spark, Databricks, and cloud-native tools, processing 2TB+ daily data with 99.9% reliability and improved performance. • Build enterprise data architectures and lakehouse platforms (Delta Lake, BigQuery, Snowflake) enabling 30–35% faster query performance and supporting high-volume analytics. • Develop real-time streaming pipelines using Kafka and Pub/Sub, enabling sub-second data processing and event-driven analytics for operational insights. • Lead cross-functional collaboration and integration efforts, working with business, infrastructure, and analytics teams to align data solutions with business goals. • Implement data governance, data quality frameworks, and security best practices (IAM, RBAC, encryption, row-level security) to ensure compliance and data integrity. • Automate cloud infrastructure and CI/CD data pipelines using Terraform, Docker, and Git-based workflows, improving deployment efficiency by 60%. 💡 Impact Highlights: • Improved data availability by 40% by designing and implementing scalable ELT pipelines integrating multiple enterprise systems. • Reduced data pipeline runtime by 20% through Spark optimization, partitioning, and incremental data processing strategies. • Built real-time streaming architectures enabling large-scale analytics and monitoring for event-driven platforms. 🌐 Tech Ecosystem: Azure (Data Factory, Synapse, Databricks, ADLS, Event Hub) | GCP (BigQuery, Dataflow, Pub/Sub, Vertex AI) | AWS (Glue, Redshift, S3, EMR) | PySpark | Apache Spark | Kafka | Airflow | dbt | Terraform | Docker | Snowflake | Python | SQL | Power BI | Tableau 🤓 I’m passionate about building scalable, secure, and integration-driven data platforms that power analytics, machine learning, and enterprise decision-making. 📬 Open to Data Engineer / Senior Data Engineer opportunities, especially in roles focused on data integration, cloud architecture, and data platforms.
• Integrated data ingestion pipelines with Fivetran and BigQuery, consolidating diverse data sources into unified analytics layers and accelerating real-time reporting by 40%. • Engineered and optimized ETL workflows using PySpark, Airflow, and dbt, streamlining batch processing and reducing runtime by 20% while maintaining consistent, high-quality data delivery. • Designed and implemented Kimball-style dimensional models (Facts and Dimensions) in dbt and BigQuery, improving query performance by 35% and enhancing reporting scalability. • Developed real-time data streaming solutions using Kafka and Pub/Sub, enabling near-instant insights that improved executive decision-making speed across key business operations. • Automated end-to-end pipeline deployments with Terraform and Docker, standardizing infrastructure, reducing configuration drift, and improving production release reliability. • Partnered with data science teams to operationalize Vertex AI models, automating predictive pipelines and reducing model latency by 40% through scalable orchestration. • Established IAM and RBAC policies across GCP data environments, strengthening governance, securing sensitive assets, and ensuring enterprise compliance readiness.
• Supported institutional analytics initiatives by consolidating and cleaning large-scale datasets from multiple student information systems using SQL, Python, and Azure Data Studio, improving reporting accuracy and accessibility by 30%. • Conducted exploratory data analysis (EDA) on student performance data to identify retention and success trends that informed academic program enhancements. • Automated recurring compliance and research reports with SQL and Excel (VLOOKUP, Pivot Tables, advanced formulas), reducing report preparation time by 30% and ensuring timely delivery to administrators. • Delivered ad-hoc analytical insights and data visualizations for faculty and administrators, improving operational efficiency while maintaining FERPA and institutional compliance.
• Supervised daily front- and back-of-house operations, coordinating with culinary staff and student employees to ensure high-efficiency service during peak dining hours. • Directed and delegated responsibilities to team members, optimizing labor allocation and maintaining workflow continuity in a fast-paced, high-volume environment. • Enforced operational standards for cleanliness, food safety, and workplace organization, ensuring compliance with institutional health and safety protocols. • Acted as a leadership point-of-contact for resolving operational bottlenecks, employee coordination issues, and service disruptions in real time. • Trained and mentored new student employees, accelerating onboarding and improving performance consistency across shifts. • Recognized as “Best Employer of the Year 2024” for leadership effectiveness, team management, and contribution to a positive, results-driven workplace culture.
• Promoted the Google Crowdsource app across social platforms and local communities, increasing awareness and driving new user registrations through structured outreach and content campaigns. • Organized and hosted virtual and in-person events including AI awareness sessions, photowalks, and onboarding workshops to educate participants on contributing high-quality data for AI model training. • Mentored new contributors by providing hands-on guidance on task accuracy, contribution strategies, and leveling up within the app, improving overall data quality and community retention. • Acted as a liaison between the contributor community and the Google Crowdsource team, collecting structured feedback and escalating usability issues, feature requests, and community insights to official managers. • Created educational and awareness-driven content (blogs, short-form videos, and social posts) highlighting the importance of reducing bias in AI systems through diverse and high-quality contributions. • Fostered an inclusive contributor network focused on ethical AI development, encouraging consistent participation and emphasizing responsible data contribution practices
Crowdsourcing is a fun and simple approach to contribute to the foundations of Artificial Intelligence (AI). It allows us to make the Google products we love even better for your language, area, and culture, boosting machine learning diversity.
• Founded and scaled a student-led tech community on Discord focused on career acceleration, structured learning, and peer-to-peer mentorship. • Designed and managed a centralized resource ecosystem sharing curated internship opportunities, tech programs, roadmaps, and industry-relevant learning materials to improve member outcomes. • Built and led a mentor network of student and early-career professionals, establishing a knowledge-sharing culture that increased engagement and skill progression. • Organized and hosted technical workshops, career guidance sessions, and technology-focused events across domains such as data, development, and emerging tools. • Developed community governance, onboarding systems, and engagement strategies to ensure retention, accountability, and high-value participation. • Positioned the community as a career-launch platform by aligning discussions, events, and shared resources with real-world industry demands. Socials: https://bit.ly/LBTSocials Discord: https://bit.ly/letsbuildtogether-discord BREAK
• Led the regional Azure developer ecosystem in Tirupati and Vijayawada, driving structured learning, peer networking, and technical upskilling initiatives for aspiring and working professionals. • Planned and executed recurring technical meetups, hands-on workshops, and knowledge-sharing sessions focused on cloud architecture, DevOps practices, and real-world Azure implementations. • Built and managed a high-performance volunteer team, aligning event strategy, content quality, and community engagement to ensure sustained participation and measurable impact. • Mentored developers on Azure fundamentals, cloud-native application development, deployment strategies, and certification pathways, accelerating their career readiness. • Fostered industry collaboration by connecting developers with experienced professionals, creating networking pipelines and exposure to practical cloud use cases. • Positioned the regional community as a consistent learning hub by maintaining content relevance with evolving Microsoft Azure services, tools, and best practices.