You will get messy spreadsheets and CSVs cleaned, structured, and automated
Project details
Every week, teams waste hours cleaning messy data. Columns don't match. Formats differ. Values are inconsistent. Someone ends up staring at Excel wondering where their day went. I make that problem disappear ā and I built a live product that does exactly this, so this is core to what I do.
What you get:
š¹ Your messy spreadsheets / CSVs turned into clean, structured, ready-to-use data
š¹ Automated cleaning, mapping, and validation ā not a one-time manual fix
š¹ Deduplication, format standardization, and consistency checks
š¹ A repeatable pipeline so new files clean themselves going forward
š¹ Optional real-time ETL pipeline into your database or warehouse
Tech: Python (pandas), real-time ETL pipelines, validation rules, your choice of database/warehouse.
Best for: vendor data, CRM imports, finance reconciliation, migrations, shopify, amazon product catalog, and any team repeatedly hand-cleaning the same kind of file.
What you get:
š¹ Your messy spreadsheets / CSVs turned into clean, structured, ready-to-use data
š¹ Automated cleaning, mapping, and validation ā not a one-time manual fix
š¹ Deduplication, format standardization, and consistency checks
š¹ A repeatable pipeline so new files clean themselves going forward
š¹ Optional real-time ETL pipeline into your database or warehouse
Tech: Python (pandas), real-time ETL pipelines, validation rules, your choice of database/warehouse.
Best for: vendor data, CRM imports, finance reconciliation, migrations, shopify, amazon product catalog, and any team repeatedly hand-cleaning the same kind of file.
AI Development Type
Knowledge Representation, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, Keras, MLflowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$20
|
Standard
$35
|
Advanced
$55
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | |||
Source Code | |||
Taxonomy |
Frequently asked questions
About Syed
AI Engineer | RAG, AI Agents | Data Pipelines & SaaS | 16 yrs Exp
Dubai, United Arab EmiratesĀ - 4:21 pm local time
From designing multi-tenant architectures to leading large-scale integrations, Iāve seen firsthand how technical complexity often blocks business growth.
That insight led me to found Sift Tech LLC, a UAE-based technology partner helping organizations turn complexity into scalable, impact-ful solutions. We specialize in AI-driven product innovation and full-scale software development, guiding ideas from MVP to enterprise-grade systems.
Iām passionate about bridging the gap between whatās possible and whatās profitable, leveraging deep technical expertise to build products that not only workābut scale, perform, and deliver real business value.
What I help clients with:
š¹ RAG & Graph-RAG systems ā retrieval that handles real, multi-part questions across scattered documents, not naive single-chunk lookup
š¹ AI agents & orchestrated workflows ā reliable, governable automation (not runaway agent loops)
š¹ LLM apps & integration ā tool calling, MCP implementations, fine-tuning & LLMOps
š¹ Data engineering ā real-time ETL pipelines, vector DB optimization, knowledge graphs
š¹ Data cleaning & transformation ā messy spreadsheets/CSVs ā clean, structured, query-ready data
š¹ Scalable SaaS ā multi-tenant architecture, secure APIs, enterprise cloud infrastructure (Kubernetes, Kafka, cloud-native)
Why clients work with me: I've shipped real production systems in regulated environments (banking/fintech) where "close enough" fails. I bring that same rigor; security, data lineage, edge-case reliability; to AI work that most people only get to the prototype stage.
How I work:
Quick discovery call ā scoped plan with milestones ā build in sprints with regular demos ā clean handover with docs. Clear communication, honest timelines, and a fixed-scope option if you'd rather start small.
š© Send me a sentence or two about your problem or something you want to build and I'll tell you honestly whether I'm the right fit; and roughly what it takes to solve it.
Steps for completing your project
After purchasing the project, send requirements so Syed can start the project.
Delivery time starts when Syed receives requirements from you.
Syed works on your project following the steps below.
Revisions may occur after the delivery date.
Review your data & confirm the target
I examine your sample, confirm the exact output format you need, and identify the issues to fix ā mismatched columns, formats, duplicates, missing values. I'll flag anything ambiguous before starting.
Build the cleaning & transformation logic
I write the logic to standardize formats, map columns, deduplicate, validate, and restructure your data into the clean target schema ā as a reusable script/pipeline rather than a one-off manual fix.