You will get an End-to-End Data Warehouse Architecting: Snowflake, BigQuery, AWS
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Project details
Most businesses struggle with "data silos"—information scattered across apps and spreadsheets that don't talk to each other. I specialize in building custom, enterprise-grade Data Warehouses from the ground up, turning fragmented data into a unified, high-performance asset. Using the modern data stack, I architect systems that are scalable, secure, and built for sub-second query performance.
My Core Specializations:
• Infrastructure Design: Architecting greenfield data warehouses in Snowflake, Google BigQuery, or Amazon Redshift.
• ETL/ELT Pipeline Engineering: Building automated data flows using SQL Server Integration Services (SSIS), Python, or native cloud tools.
• Data Modeling: Designing high-efficiency Star Schemas (Fact/Dimension tables) to ensure your reporting tools run at peak speed.
• On-Prem to Cloud Migration: Moving legacy SQL Server or Oracle environments to modern cloud architectures with zero data loss.
• Governance & Documentation: Providing full technical documentation and data dictionaries so your team has total ownership of the architecture.
My Core Specializations:
• Infrastructure Design: Architecting greenfield data warehouses in Snowflake, Google BigQuery, or Amazon Redshift.
• ETL/ELT Pipeline Engineering: Building automated data flows using SQL Server Integration Services (SSIS), Python, or native cloud tools.
• Data Modeling: Designing high-efficiency Star Schemas (Fact/Dimension tables) to ensure your reporting tools run at peak speed.
• On-Prem to Cloud Migration: Moving legacy SQL Server or Oracle environments to modern cloud architectures with zero data loss.
• Governance & Documentation: Providing full technical documentation and data dictionaries so your team has total ownership of the architecture.
Database Type
MySQL, MS SQL, MS Access, Oracle, SQLite, PostgreSQL, MongoDB, Couchbase, Teradata, Realm Database, Azure Cosmos DB, LevelDBWhat's included $20,000
These options are included with the project scope.
$20,000
- Delivery Time 45 days
- Number of Revisions 1
- Schema Diagram
- Permissions Setup
Optional add-ons
You can add these on the next page.
Additional Revision
+$2,000
Import/Export Data
(+ 3 Days)
+$3,000Frequently asked questions
3 reviews
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ML
Michelle L.
Jun 18, 2026
1. Data Extraction from Legacy ERP to New ERP and 2. Data Server Move
Najm and his team are beyond words outstanding. They have experience and skills to handle whatever challenges we threw at them. We had an extremely difficult data extract from a legacy ERP with antiquated technology. Najm figured it out, optimized, streamlined and did everything we needed done. Extremely fair billing. Would hire for another project without hesitation. 5 start recommend!
HM
Hannington M.
Oct 28, 2025
Resolve connective issue: Apache Kafka and Flink
VT
Vlad T.
Oct 6, 2025
Cloud Data Engineer
Najm delivered exceptional work on our AWS data infrastructure project. From the start, he demonstrated deep technical understanding, strong communication, and a clear commitment to delivering a reliable MVP within scope and timeline.
He quickly set up and optimized our AWS data pipelines, configured PostgreSQL/TimescaleDB for performance, and built a clean, maintainable ETL workflow in Python - all while adding smart monitoring through CloudWatch to ensure stability.
What stood out most was his clarity of thinking and attention to long-term scalability. Even though this was a short engagement, Najm designed everything with future growth in mind, making it easy for us to expand the system later.
He’s proactive, transparent, and solutions-focused - exactly what you want in a data engineer. I’d recommend Najm without hesitation and look forward to working with him again on future infrastructure phases.
He quickly set up and optimized our AWS data pipelines, configured PostgreSQL/TimescaleDB for performance, and built a clean, maintainable ETL workflow in Python - all while adding smart monitoring through CloudWatch to ensure stability.
What stood out most was his clarity of thinking and attention to long-term scalability. Even though this was a short engagement, Najm designed everything with future growth in mind, making it easy for us to expand the system later.
He’s proactive, transparent, and solutions-focused - exactly what you want in a data engineer. I’d recommend Najm without hesitation and look forward to working with him again on future infrastructure phases.
About Najm Us Saqib
Data Engineer | AWS Certified | AI & Analytics | Cloud Specialist
100%
Job Success
Pflugerville, United States - 5:41 pm local time
Whether you are battling 12-hour query runtimes, migrating legacy silos, or building an AI-ready data lakehouse, I provide the architectural strategy and engineering rigor required to scale. With 20+ years of experience delivering high-stakes production systems for global brands like Apple, Overstock, and Medline, I move beyond task-based support to own your technical roadmap.
As the Managing Director of ADLAB Solutions, I lead a vetted engineering bench capable of scaling delivery across Data Engineering, AI/ML, and UI/UX—ensuring your stack remains a growth driver, not a bottleneck.
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📊 THE IMPACT (By the Numbers)
• 1B+ Rows modeled cleanly with 99.9% pipeline uptime.
• 35% Avg. Reduction in Snowflake/Cloud compute costs through refactoring.
• 150+ Dashboards delivered with 70% latency improvement.
• 30+ Hours/Week saved per client through metadata-driven automation.
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🛠️ ARCHITECTURAL FOCUS AREAS
• Warehouse Modernization & Migrations: Specialized in Teradata/SQL Server → Snowflake, BigQuery, or Fabric. I focus on zero-downtime cutovers and "Set-Based" design to maximize cloud-native performance.
• Metadata-Driven ELT/ETL Pipelines: Building idempotent, self-healing pipelines (dbt, Airflow, Matillion, ADF). I design systems that handle schema drift automatically to protect downstream AI and BI models.
• AI & Agentic Data Foundations: Architecting semantic layers for Snowflake Cortex, RAG-powered knowledge assistants, and predictive "Nowcasting" systems that combine high-frequency signals with broad benchmarks.
• Analytics Engineering & BI Governance: Shipping governed Power BI, Tableau, and Sigma environments. I fix the "Broken Trust" in numbers by implementing Row-Level Security (RLS) and centralized metrics definitions.
• Real-Time & Managed Services: CDC patterns for sub-minute freshness (Kafka, GoldenGate) and ongoing SLA-based infrastructure monitoring and administration.
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🎯 TRUSTED BY
Apple • Teradata • Medline • Overstock • Bed Bath & Beyond • Salt Lake Bees • Poppi • Utah Jazz
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✅ THE ADLAB ADVANTAGE
• Enterprise Governance: Experienced with remote workstations (VDI), M365/Google security protocols, and HIPAA/regulated environments.
• Strategic Roadmap: I identify technical debt and map a cost-efficient architecture.
• Managed Delivery: My team executes the build with senior-level oversight.
𝗜𝗳 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝘀𝘁𝗮𝗰𝗸 𝗶𝘀 𝗳𝗮𝗶𝗹𝗶𝗻𝗴 (𝘂𝗻𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗿𝗲𝗽𝗼𝗿𝘁𝘀, 𝘀𝘁𝘂𝗰𝗸 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝗼𝗿 𝗿𝘂𝗻𝗮𝘄𝗮𝘆 𝗰𝗹𝗼𝘂𝗱 𝗰𝗼𝘀𝘁𝘀), 𝘀𝗲𝗻𝗱 𝗺𝗲 𝘁𝗵𝗲 𝗱𝗲𝘁𝗮𝗶𝗹𝘀. 𝗜’𝗹𝗹 𝗽𝗿𝗼𝘃𝗶𝗱𝗲 𝗮 𝗯𝗿𝗶𝗲𝗳 𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝘁𝗲𝗹𝗹 𝘆𝗼𝘂 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝗵𝗼𝘄 𝘄𝗲’𝗹𝗹 𝗳𝗶𝘅 𝗶𝘁.
Steps for completing your project
After purchasing the project, send requirements so Najm Us Saqib can start the project.
Delivery time starts when Najm Us Saqib receives requirements from you.
Najm Us Saqib works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Mapping & Schema Design
I analyze your source data and design a Star Schema model tailored to your business questions.
Pipeline Construction (ETL/ELT)
I build the "pipes" that extract, clean, and load your data into the central warehouse, ensuring data integrity at every step.