Jun 2025 – Present · 11 mos

• Data Engineering Lead | Senior Consultant
• Tech lead for a major hospitality client, leading two data engineering pods across 12 engineers. Designing and delivering end-to-end Airflow pipelines for workflow automation, building and optimising Snowflake transformations for analytics, and implementing NiFi workflows to automate data movement across AWS accounts. Establishing a centralised raw data layer on Medallion Architecture principles while embedding data quality standards across all pipelines. Mentoring engineers and driving best practices in SQL and Python.
• Technologies: Snowflake, AWS, Apache Airflow, Apache NiFi, SQL, Python, GitHub
• Data Engineering Lead | Senior Consultant
• Led data modernisation and mainframe-to-cloud migration for the largest asset and wealth management firm in the US, guiding a team of 10 engineers with clear ownership and timelines. Migrated legacy workloads to AWS Redshift, improving scalability and analytics performance. Designed cloud-native pipelines using PySpark, AWS Glue, Aurora, and Redshift to replace brittle mainframe processes. Owned capacity planning, effort estimation, and delivery across multi-workstream programmes while enabling data-driven decision-making across business teams.
• Technologies: AWS Redshift, AWS Glue, Amazon Aurora, PySpark, Python, SQL

May 2022 – May 2025 · 3 yrs

• Technical Leader | Automation DevOps | RPA, IDP, Agentic AI | Python | AWS | LLMs | Vector DBs
• Leading a high-performing Automation DevOps team, managing 25+ mission-critical use cases and driving innovation through agentic AI PoCs to support client adoption strategies.
• Designing and deploying scalable applications using Python, including Streamlit-based chatbots and modular backend systems.
• Architecting agentic workflows with LlamaIndex, LangChain, and vector databases (Pinecone, Redis) to integrate LLM-powered solutions into enterprise automation.
• Building and deploying ML models on AWS SageMaker for agentic AI integrations.
• Developing robust, containerized applications using Docker and orchestrating automation pipelines.
• Implementing GraphQL APIs via Hasura to streamline data access and backend integration.
• Delivering high-complexity IDP solutions using ABBYY Vantage Advanced Designer and UiPath Document Understanding, enhancing document automation capabilities.
• Managing full DevOps lifecycle and solution delivery using a tech stack including UiPath, Python, UiPath Apps, and Document Understanding.
• Conducting code reviews, solution architecture, and scalable automation design, integrating advanced UiPath features into cohesive systems.
• Conducting technical interviews and mentoring for RPA/IDP hiring, including full-time and contract roles.
• Building E2E RPA solutions with REST/SOAP API integration, including WSDL parsing and XML payload processing.
• Evaluating API feasibility and integration via Postman and SoapUI.
• Piloting Microsoft Power Automate PoCs to expand automation capabilities.
• Leading internal security, privacy, and risk assessments for RPA deployments.
• Automating Excel models/templates using VBA, macros, and lookup functions to support bot-based processing.
• Mentoring junior developers and onboarding campus hires through structured training in UiPath and intelligent automation tools.

Aug 2021 – May 2022 · 9 mos

• 🔹 Hyperautomation | RPA Developer | AI & Data Operations Practitioner
• 🔹 Driving Intelligent Automation at Scale | Business Analyst Mindset | Technical Leader
• 🔧 Technical Proficiency:
• Developed and deployed robust automation solutions using UiPath ReFramework, Orchestrator, Work Queues (Dispatcher-Performer), and Task Capture.
• Built intelligent automation workflows for modern web-based applications and integrated external APIs by interpreting, serializing, and deserializing JSON responses.
• Leveraged OLEDB and SQL queries for efficient data operations and cross-system integrations.
• Delivered automation PoCs that helped validate concepts and reduce time-to-value.
• 🧠 Process & Strategy Leadership:
• Partnered with PMs and leadership to assess use case feasibility, estimate efforts, and align automation initiatives with business goals.
• Created key project documentation including PDDs, TDDs, and facilitated code reviews for quality assurance.
• Actively participated in process assessments, identifying pain points, analyzing complexities, and providing future-state recommendations to ensure high-impact automation fit.
• Contributed as a RPA Business Analyst by gathering detailed requirements and transforming them into scalable technical solutions.
• 🚀 RPA Lifecycle Champion:
• Deep understanding and practical application of the full RPA lifecycle in enterprise environments—from discovery to continuous improvement.
• Experience working with multi-bot architecture for scaling automation and achieving process efficiency across domains.