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You will get End to End Data Pipeline in AWS


Project details
With AWS Data Pipeline, users can easily define data processing activities, such as data extraction, transformation, and loading (ETL), through a visual interface or programmatically using the AWS SDK. The service supports a wide range of AWS services, including Amazon S3, Amazon EMR, Amazon Redshift, Amazon RDS, and more, allowing seamless integration and compatibility.
By utilizing AWS Data Pipeline, businesses can automate data-driven processes, reducing manual effort and increasing operational efficiency. Data Pipeline enables users to define dependencies, schedule activities, and monitor progress, ensuring reliable execution of complex workflows.
Data Pipeline simplifies the data integration process by offering a centralized platform to connect and move data across different sources. It supports both batch and real-time data processing, enabling users to process data at scale while maintaining low latency. The service offers built-in data transformation capabilities, allowing users to apply custom logic and transformations to their data before transferring it to the target destination.
By utilizing AWS Data Pipeline, businesses can automate data-driven processes, reducing manual effort and increasing operational efficiency. Data Pipeline enables users to define dependencies, schedule activities, and monitor progress, ensuring reliable execution of complex workflows.
Data Pipeline simplifies the data integration process by offering a centralized platform to connect and move data across different sources. It supports both batch and real-time data processing, enabling users to process data at scale while maintaining low latency. The service offers built-in data transformation capabilities, allowing users to apply custom logic and transformations to their data before transferring it to the target destination.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$4,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Source Code |
31 reviews
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PP
Patrick P.
Mar 14, 2025
C# Microsoft SQL Architect
MS
Matthew S.
Feb 10, 2025
Data Warehouse & Metabase Set Up
Jahanzeb and his team did exactly what we needed promptly and to budget.
UE
Ugo E.
Dec 5, 2024
DataBricks/Tableau Developer/SQL/Python
GF
Glenn F.
Oct 3, 2024
MIS - (MS SQL & Google Data Studio) (Starting with Initial 20-30 Hrs 3-screen Proof of Concept)
Jahanzeb was great to work with. Wd didn't end up finishing off the project due to internal reasons not related to Jahanzeb.
PL
Paul L.
Aug 9, 2024
Snowflake Data Ingestion Expert
Haha zen and his developer have accomplished the task for integration GA with snowflake. Have accommodated change requests without any hesitation, since it’s expected in projects. They have demonstrated as SME for data integration.
About Jahanzeb
Data & AI Engineer | Snowflake, Azure, LLM Agents, BI Dashboards
100%
Job Success
Karachi, Pakistan - 6:26 am local time
I'm Jahanzeb, a Data and AI Engineer with 9+ years of experience building data pipelines, LLM agents, BI dashboards, and cloud infrastructure for startups and enterprises across healthcare, finance, real estate, and SaaS.
I design and build ETL and ELT pipelines, cloud data warehouses, and analytics infrastructure on Snowflake, Azure, AWS, Databricks, and BigQuery. I build production-grade LLM agents, RAG pipelines, agentic AI workflows, and OpenAI-based automation with real orchestration and event-driven architecture. I deliver multi-account BI dashboards in Power BI, Tableau, Looker Studio, and Qlik that support real decisions, not just presentations. I also build workflow automation using n8n, Make, and REST API integrations that connect CRMs, databases, and AI tools into systems that run without manual work.
Clients I have worked with include Abu Dhabi Islamic Bank, Novartis, RTA Dubai, Knights of Columbus, Kyocera, and HEC Pakistan across the GCC, North America, and South Asia.
I carry a 100% Job Success Score, 4.8 stars across 33 reviews, and 52 completed projects on Upwork. I work async-first, give short daily updates, and hand off everything documented so your team can maintain it independently.
If you need a senior technical partner for data engineering, LLM agents, BI dashboards, or AI automation, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Jahanzeb can start the project.
Delivery time starts when Jahanzeb receives requirements from you.
Jahanzeb works on your project following the steps below.
Revisions may occur after the delivery date.
Receive AWS Account details and Data requirements from the client
-Business understanding of data. -AWS Console credentials -Data sources information