You will get A Data Pipeline for Data-Driven Insights .
Project details
This data pipeline project stands out by employing AWS Glue, a fully managed serverless ETL service, to streamline data flow and facilitate efficient data processing. By leveraging AWS Glue, the project eliminates the need for infrastructure management, reducing costs and complexity. Furthermore, the project adopts a tiered approach, offering Starter, Standard, and Advanced tiers to cater to varying project requirements and budgets. This flexibility ensures that organizations can select the tier that best aligns with their specific needs and data volume. Additionally, the project emphasizes data quality checks and validation processes to ensure data integrity and consistency, providing organizations with reliable data for informed decision-making.
Machine Learning Tools
Azure Machine Learning, ChatGPT, Databricks Platform, GPT-3, Microsoft Excel, Microsoft Power BI, NumPy, pandas, Python, SQL, TableauWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 5 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code | - | - |
49 reviews
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(1)
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This project doesn't have any reviews.
AT
Amanullah T.
May 14, 2026
4‑Hour Data & AI Readiness Audit – Strategic Roadmap for Enterprise Scaling
Kumail is a great freelancer to work with. His consulatation was on point and audit reports were excellent.
HB
Harry B.
May 10, 2026
Onboarding Friction Analysis for AI/ML Developer Tools (Emerging Market Lens)
We hired Kumail to simulate an ML engineer's first experience with our developer platform from an emerging market perspective. For a very reasonable investment and short timeline, he delivered a focused four page audit that saved us weeks of guesswork. His top five friction points were spot on, especially the proxy authentication issue that we had not prioritised. The fix this first recommendation alone was worth the fee. Kumail is technical, direct, and respects your budget. Highly recommended.
FC
Feng Lin C.
Apr 16, 2026
Marketing AI Workflow Strategy
I’m really impressed with the AI-driven marketing workflow strategy you’ve put together. It’s clear you’ve taken a thoughtful approach to integrating AI in a way that enhances efficiency without losing sight of strategic decision-making.
What stands out most is how well-structured the workflow is—from research and insights to execution and optimization. The way you’ve identified key points where AI can add value (especially in content generation, personalization, and analytics) shows a strong understanding of both marketing fundamentals and modern tools.
I also appreciate that the strategy doesn’t rely on over-automation. Instead, it keeps a solid balance between AI capabilities and human input, which is critical for maintaining quality, creativity, and brand voice.
Overall, this is a well-rounded, forward-thinking approach that has real potential to improve performance and scalability. Great work putting this together.
What stands out most is how well-structured the workflow is—from research and insights to execution and optimization. The way you’ve identified key points where AI can add value (especially in content generation, personalization, and analytics) shows a strong understanding of both marketing fundamentals and modern tools.
I also appreciate that the strategy doesn’t rely on over-automation. Instead, it keeps a solid balance between AI capabilities and human input, which is critical for maintaining quality, creativity, and brand voice.
Overall, this is a well-rounded, forward-thinking approach that has real potential to improve performance and scalability. Great work putting this together.
ES
Erik S.
Mar 5, 2026
ASAP help needed, Integration of Claude with PowerBI/Fabric MCP Server
AS
Ackshan S.
Jul 21, 2024
Participants for Python Programming Study with Flask
Very good communication, delivered on time. It was nice working with you!
About Kumail
Data Analytics Engineer | Power BI, Azure, AI/ML Strategy | Enterprise
76%
Job Success
Karachi, Pakistan - 4:02 am local time
Most AI initiatives are expensive hallucinations. I am the reason yours will not be.
The average SaaS company wastes $200k+ on AI projects that fail because of data silos, missing feature stores, and untrusted reporting. You do not need more code. You need an architect who can tell you why your infrastructure is about to collapse under the weight of your own ML models.
Why I am different (and why enterprise clients hire me)
I am a CA (Chartered Accountant) Finalist turned Senior Technical Auditor. I speak the language of the CLI and the CFO. I do not just build. I audit for ROI, scalability, and technical friction before you spend a dollar.
Battle‑tested results from recent engagements
Infrastructure Audit: Saved a fast‑growing SaaS from a $200k AI dead‑end by identifying critical data silos between Product, Marketing, and Finance. The fix cost less than 5% of the planned budget.
Friction Removal: Shaved weeks off an ML platform onboarding by finding and fixing "invisible" proxy authentication issues that senior engineering teams had missed for months.
Workflow Strategy: Architected AI‑driven marketing workflows that balance automation with human‑in‑the‑loop brand integrity. The result: 22% higher conversion without degrading customer trust.
What I actually do for you
AI Readiness Audits – I stop the bleeding before you commit six figures to a foundation that is cracked.
Onboarding Friction Analysis – I simulate your developer or user experience to find the $50k drop‑off points that kill adoption.
Data Strategy & Feature Stores – I build the reporting layers and real‑time infrastructure that actually matter to your CFO and your product team.
Why a CA Finalist does data engineering
Numbers tell the truth when code lies. I have audited financial statements, chased down reconciliation gaps, and built analytics systems that serve C‑suite stakeholders at Getz Pharma, Emirates Telecommunication, and Alibaba‑backed Daraz. That background means I ask different questions. Not "can we build it" but "should we build it and how do we measure success."
Enterprise credentials you will not find in most profiles
Microsoft Fabric Community Super User (Season 1, 2022). 80,000+ article views on Power BI, Fabric, and Copilot published on the official Microsoft community blog.
Invited member of the Microsoft Fabric User Panel, contributing directly to product development with Microsoft engineering teams.
Certified: Azure Data Engineer Associate (DP‑203), Azure AI Engineer Associate (AI‑102). Renewed 2024.
Recent client feedback (real, not generic)
"He delivered a focused 4‑page audit that saved us weeks of guesswork. His top 5 friction points were spot on, especially the proxy authentication issue we had not prioritised. The fix‑this‑first recommendation alone was worth the fee." – AI/ML Developer Platform, May 2026. 5.0 rating.
"I am really impressed with the AI‑driven marketing workflow strategy. The way you have identified key points where AI can add value shows a strong understanding of both marketing fundamentals and modern tools." – Marketing AI Strategy, April 2026. 5.0 rating.
Technical stack grouped by impact, not buzzwords
Impact Areas: AI Strategy, Technical Due Diligence, Data Architecture, ROI Analysis, Onboarding Friction.
Data Engineering & BI: Azure Data Factory, Synapse Analytics, Snowflake, Databricks, Microsoft Fabric (OneLake, Lakehouse, Warehouse, Medallion), Power BI (DAX, M, Composite Models, DirectLake), Tableau, Looker Studio.
ETL & Pipelines: Apache Airflow, dbt, Python, PySpark, SQL (Advanced), Delta Lake.
Cloud & Infrastructure: Azure, AWS (S3, Glue, EMR, Lambda), Snowflake, Alibaba Cloud.
AI/ML Implementation: LangChain, OpenAI API, Azure AI Services, RAG Systems, Vector Databases, Prompt Engineering. I bridge AI capabilities to practical business outcomes.
How I work (selective and direct)
I am selective with my time. If you are looking for the cheapest developer, I am not your guy. If you are looking for the expert who ensures your $200k investment actually delivers, we should talk.
Fixed‑price or milestone‑based. No hourly traps.
I will tell you when your idea is not ready for AI. That honesty has earned me repeat enterprise clients.
Every engagement includes a post‑delivery walkthrough and a written handoff document. No ghosting.
Stop guessing. Start auditing.
Steps for completing your project
After purchasing the project, send requirements so Kumail can start the project.
Delivery time starts when Kumail receives requirements from you.
Kumail works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements gathering and analysis
Data pipeline design