Faisal Ahmad

• Communicating with the clients.

• Architected and delivered end-to-end data platforms across AWS (Lambda, Glue, S3, RDS, DynamoDB, SQS/SNS, Athena, Redshift) and Azure (ADF, Databricks, ADLS), enabling reliable ELT/ETL, analytics, and near-real-time use cases.

• Built scalable ingestion and transformation pipelines (batch + streaming) with Python/SQL, Airflow, Glue, and ADF/Databricks, standardizing data from Salesforce, Shopify API, SFTP, webhooks, and internal REST APIs.

• Shipped analytics products with Metabase and Power BI (KPI dashboards, executive views, self-serve models), including governance on metrics, data dictionary, and row-level security.

• Delivered AI/RAG integrations (document indexing, semantic search over curated tables), and embedded insights into operational apps (Odoo/internal portals).

• Led a data team: scoped roadmaps, ran stand-ups, unblocked devs, and interfaced with clients/stakeholders to close projects on time and within budget.

• Tools & Skills: APIs/REST,
GitHub/CI-CD, Data Governance, Data Security LLM-based
vectorized search over warehouse data, prompt engineering, automation/orchestration, ML model lifecycle (training, evaluation, deployment), data governance for AI..

• Architected and developed end-to-end data solutions, integrating APIs, databases, and cloud platforms like AWS

• Data stores, to support analytics and reporting needs. Used Azure Synapse Analytics and Azure Data Lake to build flexible data models that catered to both current and future business needs.

• Spearheaded the design, development, and maintenance of scalable data pipelines using Azure Cloud Services, ensuring seamless data integration and processing across the organization. Leveraged Azure Data Factory (ADF) and Azure Databricks to deliver high-performance, reliable solutions that met evolving business requirements.

• Optimized OLAP systems by tuning cube structures, aggregations, and indexing strategies for improved query performance.

• Implemented process optimizations for ETL workflows, reducing execution times and increasing efficiency. Led troubleshooting initiatives to quickly identify and resolve issues, ensuring minimal downtime and data accuracy with Azure Data Factory and Azure Databricks.

• Developed and optimized physical and logical data models in Azure Synapse Analytics and Azure SQL Database, enhancing system performance and reducing latency. Improved query response times for both batch and real-time data processing.

• Tuned and optimized Azure-based database systems (Azure SQL Database, Azure Synapse Analytics) to improve storage efficiency, query performance, and processing speed.

• Led data provisioning and access management, ensuring data security and governance. Provided strategic direction to safeguard critical data assets while ensuring they were accessible and compliant with relevant regulations.

• Ensured high data quality standards by rigorously monitoring, reconciling, and validating ETL processes. Applied Azure Data Factory and Azure Monitor to maintain the integrity of data in the data warehouse.

• Developed, tested, and maintained robust, scalable data pipelines using industry-best practices to ensure seamless data flow and

- Created a Property Agency Website & an Online Shopping Website