Faisal N.

Senior Data Architect and Cloud Engineer specializing in enterprise cloud migrations, high-throughput streaming pipelines, and Snowflake/AWS FinOps. I work with engineering leaders to decommission legacy monoliths (Informatica, Oracle, on-prem RDBMS) and deploy scalable cloud lakehouses that cut compute costs by 40–60% without pipeline lag. I partner with enterprise and high-growth mid-market engineering teams. I do not handle basic web scraping, entry-level reporting. Core Capabilities Cloud Lakehouse Migration: Re-platforming legacy monoliths (Informatica PowerCenter, Oracle, mainframes) to AWS Glue, Snowflake, and BigQuery with zero downtime and strict governance. Real-Time Streaming Architecture: High-throughput streaming fabrics built with Apache Kafka, AWS MSK, Apache Spark/Flink, and Airflow processing millions of events per second. Snowflake & Cloud FinOps: Deep architectural audits to right-size compute clusters, kill runaway queries, optimize storage tiering, and eliminate cloud waste. Data Fabrics for Production AI: Semantic layers, change data capture (CDC), vector ingestion pipelines, and event-driven orchestration (n8n, Airflow) for autonomous AI workflows. Enterprise Project Highlights Walmart USA (Retail): Re-engineered core inventory management pipelines from batch to streaming using PySpark and BigQuery, cutting processing windows by 60% for real-time logistics tracking. Rogers Communications (Telecom): Architected scalable AWS MSK/Kafka and AWS Glue telemetry pipelines for enterprise telecom network data, slashing latency by 70%. Bank of Nova Scotia (Banking & Insurance): Led cloud modernization migrating legacy financial data (Informatica/On-Prem) to Snowflake and BigQuery, dropping cloud OpEx by 20% under strict regulatory compliance. Bally's Interactive (Gaming): Engineered real-time odds calculation and streaming telemetry using Kafka, Airflow, PySpark, and BigQuery. Enterprise Construction (USA): Implemented agentic data ingestion workflows (n8n + LLM orchestration) to automate multi-vendor invoice extraction directly into PostgreSQL and Elasticsearch. Core Technical Stack Cloud Data Platforms: Snowflake, AWS (Glue, Athena, MSK, Redshift, S3), Google BigQuery, Lakehouse Architecture (Apache Iceberg, Delta Lake). Processing & Orchestration: Apache Kafka, PySpark, Apache Airflow, Informatica IICS/PowerCenter, Change Data Capture (CDC / Debezium). Databases & Stores: PostgreSQL, Amazon Redshift, Elasticsearch, Redis. AI & Agentic Ingestion: Production LLMs, Semantic Layers, RAG Architectures, n8n Orchestration. Ready to migrate legacy pipelines or optimize runaway cloud compute costs? Click Invite to Job or Send Message to review your architecture