Antony – Python, SQL, Apache Spark

A hospitality tech platform powering ordering and payments for 15,000+ venues across APAC, the US, and the UK. Antony owned the data platform end-to-end: ingestion, warehousing, modeling, infrastructure, and the analytics products built on top of it. After the merger of two companies with completely different stacks, Antony led the technical consolidation into a single platform, then took the warehouse from an internal reporting tool to a revenue-driving product through an Advanced Analytics subscription and direct data sharing for enterprise clients. Day-to-day, Antony worked across product, finance, revenue operations, and account teams, translating their questions into pipelines, models, and measurements that feed pricing, upsell, and retention decisions.

• Unified two data warehouses after a merger (Azure/Snowflake/DBT vs AWS/Spark/Hudi), running three independent pipelines simultaneously through the transition before consolidating into one
• Led the migration end-to-end from a technical standpoint with two engineers, coordinating across product, finance, and operations stakeholders
• Reduced AWS costs by more than 40% by replacing redundant pipelines and right-sizing services across two environments in three regions
• Turned the warehouse into a client-facing product: built an Advanced Analytics subscription and enterprise data sharing via Snowflake Marketplace, giving large accounts direct access instead of manual request handling
• Designed the price benchmarking pipeline at the SA4 geographic level, using LLMs via OpenRouter for entity resolution and embeddings to cluster similar items across organizations with wildly different naming conventions, testing multiple models for accuracy and cost
• Demonstrated GMV uplift from product adoption using DiD and PSM, feeding results directly into upsell and retention conversations
• Moved ingestion from batch to near real-time via Snowpipe-based CDC, then consolidated onto Snowflake Connector for Kafka, cutting S3 staging costs and removing per-dataset Snowpipe provisioning
• Migrated all infrastructure from manual console provisioning to Terraform, with CI/CD pipelines for automated deployment and rollback across all environments
• Built data integrations into CRM tools (Salesforce, Airship) so client teams could run targeted campaigns on venue ordering and engagement data
• Worked with Revenue Operations and Account teams on target tracking, pipeline reporting, and data rooms for funding rounds

A self-service data lake and analytics platform for a large internal networking organization at Amazon, built so engineering, ops, and product teams could answer their own questions about device and network telemetry instead of raising manual data requests. Antony designed the platform end-to-end: ingestion of high-volume semi-structured telemetry, the Iceberg-based storage and data models, KPI calculation, and automated data quality checks. Antony's focus was on making the data trustworthy and directly queryable, with schema evolution and partitioning handled automatically, so consuming teams did not need to understand the underlying pipelines. The platform later became the foundation for ML-based log analytics, extending well past the original reporting use case.

• Designed an Iceberg-based self-service data lake for a networking organisation covering ingestion, modelling, KPI calculation and automated data quality checks across device and network telemetry, projected to cut maintenance effort by 14%
• Restructured the ingestion layer to handle semi-structured telemetry at scale using Serverless EMR, with schema evolution support and automated partitioning
• Replaced a patchwork of team-specific scripts and manual Redshift loads with a single scalable ingestion approach, removing manual data requests from consuming teams
• Built the platform that was later adopted as the foundation for ML-based log analytics

Two client-facing data platforms delivered as technology lead. The first was a cloud-based analytics platform for financial advisors, consolidating stock and market data from multiple providers into a single model, enabling advisors to build and run financial models in minutes rather than hours. Antony designed the ingestion pipelines and data models and led a team of three engineers through delivery. The second was a construction management platform where Antony migrated on-premise data pipelines to AWS and added interactive cost estimation and visualization features, giving project teams live cost views instead of static periodic reports. Across both, Antony made architectural decisions, pipeline design decisions, and technical direction for the team.

• Led a team of three engineers building a cloud-based analytics platform for financial advisors, owning architecture and technical direction
• Designed ingestion pipelines and data models, consolidating stock data from multiple providers, cutting financial model creation time from hours to minutes
• Migrated on-premise data pipelines to AWS for a construction management platform
• Added interactive cost estimation and visualization features so project teams could see live costs rather than static reports

Data engineering work across two large client programs. The first was a modernization of legacy ETL for a US multinational pharmaceutical client, moving pipelines onto Palantir Foundry and rebuilding the integration layer to pull from government APIs, third-party vendors, and cloud-hosted sources. Antony rewrote the processing so jobs that previously ran overnight completed in minutes, which changed how often the business could refresh their data. The second was a real-time social media ingestion platform that pulled data from Facebook, Twitter, YouTube, and Google Analytics, processing over 3 million events per day into Redshift and S3 for customer engagement analysis. Antony's focus across both was pipeline design, integration work, and reliably and quickly landing high-volume data.

• Migrated legacy ETL systems to Palantir Foundry for a US multinational pharma client, cutting job runtime from 11 hours to about 14 minutes
• Built integrations for government APIs, third-party vendors and cloud-hosted sources
• Built real-time social media ingestion pipelines across Facebook, Twitter, YouTube and Google Analytics, processing 3M+ events per day into Redshift and S3 for customer engagement analysis

Business intelligence and reporting delivery for UK insurance and Indian financial services clients. Antony built dashboards and reporting solutions that gave business teams visibility into policy, claims, and financial performance, working directly with stakeholders to turn reporting requirements into data models and semantic layers. Alongside development, Antony handled platform administration for the BI environment, including version upgrades, performance tuning, and disaster recovery, ensuring the reporting stack remained available to the business teams that depended on it daily.

• Built BI dashboards and reporting solutions for UK insurance and Indian financial services clients using SAP BusinessObjects, Crystal Reports, Power BI and Oracle DB
• Worked directly with business stakeholders to translate reporting requirements into data models and semantic layers
• Managed BI platform administration including version upgrades, performance tuning and disaster recovery