Richard Inda

• ▪Developed backend ETL services in C# and .NET, implementing data ingestion, transformation, and validation before loading into Postgres Database, supporting migrations for 0+ organizations.
• ▪Built Express.js API endpoints in TypeScript to surface ETL outputs, validation errors, and transformed SQL data, implementing query and retrieval services consumed by React components for reporting and workflow management.
• ▪Developed 0+ WCAG-compliant UI components using React, TypeScript, HTML, and CSS to power data visualizations and dashboards and used by over 0 users.
• ▪Automated legacy data transformation workflows using OpenAI LLMs to generate executable mapping logic, decreasing conversion turnaround time by 0%, preserving data accuracy, and reducing manual engineering effort by 0+ hours annually and enabling scalable data conversions.
• ▪Created a centralized Notion knowledge base documenting APIs, system architecture, workflows, and styling standards, introducing formal documentation practices in a previously undocumented environment.
• ▪Supported team growth by conducting technical interviews, mentoring new engineers, and developing a structured onboarding program that reduced ramp-up time by 0%.

• ▪Developed Python automation scripts that generated 0+ jurisdiction-specific legal documents across all 0 states, eliminating 0+ hours of annual manual data entry and enabling our operations teams to scale.
• ▪Led working sessions with operations teams to analyze state-specific legal requirements and map complex filing sequences into standardized workflow definitions prior to automation.
• ▪Embedded RESTful APIs into legacy workflows to capture timing metrics, enabling team to prioritize automation efforts and track operational ROI.
• ▪Containerized backend and API services using Docker and supported CI/CD workflows through GitHub Actions to enable consistent builds, testing, and deployment across environments.
• ▪Built front-end interfaces using React, JavaScript, HTML, and CSS that integrated with internal APIs empowering 0+ non-technical users to generate documents automatically and eliminate direct database dependency.
• ▪Engineered C# data ingestion and SQL-based transformation utilities to migrate 0+ client datasets into Microsoft SQL Server while transforming them to match internal data structure.

• ▪Supported high-volume HR operations including onboarding 0+ employees, processing 0+ terminations, and managing 0+ workers’ compensation cases.
• ▪Managed operational logistics including $0+ in inventory and scheduling $0+ in employee travel.
• ▪Built and maintained ETL workflows and API/SFTP integrations connecting UKG Pro with 0 additional HR systems, consolidating multi-source HR data into a centralized CRM and Microsoft SQL environment.
• ▪Designed and migrated a structured Azure cloud storage architecture and transferred over 0+ GB of departmental data to Azure Blob Storage, improving data organization and accessibility.
• ▪Developed 0+ reports and dashboards using SQL and Power BI to provide executives and HR managers with operational, compliance, and workforce insights.
• ▪Automated manual HR workflows using Python (Selenium) and SQL, reducing approximately 0+ hours of manual data input annually.

• ▪Drafted over 0 legal documents, conducted client intake screenings, and served as point of contact between clients, attorneys, and government agencies.
• ▪Designed and developed a responsive website using HTML and CSS and contributed to a broader digital marketing strategy (website, social media, and email campaigns), increasing client leads originating from online channels from approximately 0% to 0%.
• ▪Built Power BI dashboards and analytical reports to track operational and marketing performance, identify bottlenecks, and support data-driven pricing and budget allocation decisions.
• ▪Designed and implemented ETL workflows using Azure Data Factory to ingest, transform, and load firm data into Azure cloud storage, improving data accessibility, reliability, and reporting consistency.
• ▪Researched, evaluated, and helped implement an automated legal document generation platform, enabling a 0% increase in case throughput per paralegal.

Education