Dimple Aggrawal

Media Domain

Inspire and mentor high-performing data engineering teams, fostering a culture of innovation, collaboration, and continuous learning. Drive execution at scale, ensuring technical excellence and alignment with business objectives.

Design and optimize data systems for integrity, security, and high availability, enabling rapid experimentation and data-driven decision-making. Lead the full migration of a mission-critical SQL Server system to AWS, unifying platforms across six countries for enhanced scalability and performance.

After the acquisition of three companies, built a comprehensive dimensional data architecture to integrate all product lines into a unified platform, ensuring consistency across data assets, improving analytics capabilities, and supporting cross-product reporting and insights.

• Oversaw end-to-end ML lifecycle for a vendor-developed NLP model that extracts keywords from Digital placement names from unstructured text, improving ad classification and targeting.
• Architected and maintained scalable infrastructure using Amazon Q and AWS services (e.g., S3, Lambda, SageMaker, Step Functions) to support model training, inference, and continuous delivery pipelines.
• Acted as technical liaison between data science, engineering, and business teams, aligning AI implementation with product goals and revenue impact.
• Enabled real-time and batch inference workflows, reducing latency and manual effort across ad operations. Refined model outputs through rule-based augmentation to align with taxonomy and classification standards.
• Enabled a repeatable ML delivery pipeline, reducing time-to-production and supporting rapid iteration and continuous improvement.
• Align engineering strategy with corporate objectives, driving substantial revenue growth and increasing market share. Translate complex technical initiatives into measurable business impact, securing executive buy-in and long-term success.

Finance Domain

Transformed the company’s data infrastructure and operational intelligence to support scalable, AI-powered solutions for accounting, payroll, IFTA compliance, company formation, and lending services tailored to trucking businesses.

• Architected an ML-ready data platform using Apache Airflow, integrating fragmented ingestion pipelines into a real-time, scalable system supporting analytics, automation, and regulatory compliance.
• Led development of predictive models to assess loan eligibility, flag tax anomalies, and automate payroll and entity creation workflows, significantly reducing manual effort and error rates.
• Embedded AI-driven insights into core business processes, enabling smarter decision-making across client onboarding, financial analysis, and support services.
• Established an AI Center of Excellence to train cross-functional teams, standardize ML deployment practices, and accelerate innovation across business units.
• Drove measurable gains in client service delivery speed, data reliability, and operational cost efficiency—positioning the company as a tech-forward leader in the transportation services space.

Finance Domain

Accelerated business growth by transforming data-driven service delivery across accounting, payroll, IFTA compliance, and entity formation for transportation clients.

• Expanded market presence by aligning operational modernization with evolving client needs in the trucking and logistics sector.
• Directed the end-to-end overhaul of legacy backend systems, implementing scalable pipelines that cut processing delays, minimized errors, and improved onboarding efficiency.
• Unlocked new revenue streams by enhancing service value around tax support, business registration, and financial readiness for lending.
• Built strategic alliances and launched targeted go-to-market initiatives to increase client acquisition, deepen engagement, and boost retention.
• Empowered frontline teams with real-time financial and compliance insights, elevating cross-sell effectiveness and customer satisfaction.
• Positioned the company as a trusted advisor and growth enabler for independent truckers and small fleet operators through high-impact, data-informed services.

Media Domain

Architected and led the development of large-scale data pipelines for digital, national, and local TV datasets, optimizing data flow, ensuring system resilience, and driving operational efficiency. Directed high-performing software engineering teams, fostering a culture of technical excellence, collaboration, and accountability to consistently deliver complex, high-impact solutions.

Oversaw the development and evolution of enterprise-grade platforms, successfully managing intricate big data projects from inception to deployment while maintaining strict adherence to timelines and budget constraints. Provided strategic leadership in navigating high-stakes, fast-paced environments, making decisive, data-driven decisions to mitigate risks and ensure seamless execution.

Partnered with SVP-level executives to refine and standardize operational processes across multiple product areas, driving the adoption of Agile methodologies, CI/CD best practices, and DevOps frameworks to accelerate innovation, streamline development lifecycles, and enhance overall engineering efficiency.

Description: Provider Enrollment, Screening, and Monitoring (PRESM) for the Wyoming Department of Health.

Healthcare Domain

Directed the architecture and execution of a structured data integration framework, ensuring precision in implementation. Designed and documented a comprehensive data migration strategy, detailing process flows to improve accuracy, efficiency, and long-term maintainability.

Led collaboration with stakeholders on business development initiatives, focusing on data conversion methodologies and detailed data mapping to align technical execution with organizational goals. Assessed both legacy and future portal infrastructures, identifying inefficiencies and implementing strategic refinements to enhance business operations.

Oversaw an offshore team, providing them with obfuscated data to develop and execute the migration process. Ensured adherence to data security protocols while guiding the team in designing accurate and efficient data transformation workflows. Maintained close collaboration to refine mappings, validate outcomes, and align the migration strategy with organizational objectives.

Media Domain

Designed and built a high-performance data transformation framework, optimizing ETL workflows for a unified customer view. Developed an HDFS ingestion module, integrating diverse data sources with a focus on quality and scalability. Automated ETL pipelines, cutting processing time and improving efficiency. Leveraged PySpark to refine data integration, resolve critical issues, and drive team collaboration. Applied advanced analytics, APIs, and predictive modeling to enhance cost forecasting and operational agility while implementing cost-saving innovations

Healthcare Domain

Played a critical role in the company’s growth from inception, expanding the engineering team from a single developer to over 30 professionals while establishing a strong technical foundation. Led the design and execution of software development strategies, overseeing projects from initiation to deployment and ensuring alignment with business objectives.

Directed complex software projects, managing cross-functional collaboration and optimizing development processes. Applied expertise in project management, including resource allocation, cost estimation, risk assessment, budgeting, quality control, and profitability analysis.

Integrated predictive modeling and advanced analytics to enhance operational efficiency and data-driven decision-making. Designed and deployed machine learning models for forecasting key performance metrics and risk mitigation. Developed scalable data pipelines, leveraging AI-driven insights to refine workflows and improve accuracy in business processes.

Defined project requirements with a focus on precision and efficiency, ensuring accurate budgeting and proactive risk management. Provided structured training and mentorship, equipping teams with the technical knowledge and best practices necessary for long-term success.

Designed and established a new data architecture framework, improving data accuracy by 25% and reducing processing time by 40%. Led collaboration with stakeholders to define and implement data strategies for a new product launch, ensuring seamless execution and contributing to a 95% customer satisfaction rate.

Enhanced database efficiency by introducing advanced indexing strategies, achieving a 30% reduction in query response time. Developed scalable data management solutions to support business growth while maintaining data integrity, performance, and compliance. Worked closely with cross-functional teams to align data initiatives with organizational goals, ensuring data-driven decision-making and operational excellence.

Crafted and executed comprehensive data architecture strategies, orchestrating the development and implementation of resilient data architectures aligned with the strategic objectives of the company. Proficient in crafting scalable and streamlined databases, optimizing data models, and delivering bespoke data integration solutions tailored specifically for the nuances of the industry.

Leveraged advanced analytical techniques and technologies to extract valuable insights from vast datasets, empowering stakeholders with actionable intelligence.

Significant part of my job involved integrating various data sources into the Staging area of the Data Warehouse, ensuring both data integration and cleansing. My contribution was crucial in the construction of the Data Warehouse, which included designing Data Marts using the Star Schema. In Informatica Power Center Designer, I was responsible for creating Source and Target Definitions, as well as developing Reusable Transformations and Mapplets for multiple mappings. Additionally, I was involved in developing and updating documentation for processes and systems, ensuring clarity and accessibility of information.

Examined Business Requirement Documents (BRD) to delineate procedures for extracting, implementing business logic, and loading data into designated targets. Conducted Impact Analysis, assessing upstream and downstream effects. Formulated comprehensive Technical specifications for Data Warehouse and ETL processes. Crafted ETL procedures to guarantee adherence to standards, eliminate redundancy, and translate business rules and functional requirements into executable processes.