Freelancers using AWS in Lahore
Freelancers using AWS in Lahore
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Abubakar Chan
pro
Lahore, Pakistan
AI Automation Engineer | Full-Stack Apps & Integrations
66x
Hired
4.9
Rating
155
Followers
Expert
Expert
+2
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AI Automation Engineer | Full-Stack Apps & Integrations
4
Provider Portal for Healthcare MSO
4
46
1
Gut Health SaaS Platform Development
1
17
6
Magnai | UK Public Affairs
6
88
7
Humoni - secure housing in under 72 hours
7
146
AWS
(1)
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Umar Abdullah
max
Lahore, Pakistan
Full-Stack Dev (Web, Mobile, Desktop) & Chromium Browser Dev
8x
Hired
5.0
Rating
159
Followers
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Full-Stack Dev (Web, Mobile, Desktop) & Chromium Browser Dev
1
Chrome Extension Development for school's student Monitoring
1
14
7
Full-Stack Developer | Chromium Expert | Chrome Extension
7
83
7
Chromium Browser Development for enterprise
7
66
1
Real Estate Authority Modern Website Development
1
34
AWS
(1)
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Nivyan B
pro
Lahore, Pakistan
AWS Certified Fullstack AI Developer
22
Followers
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AWS Certified Fullstack AI Developer
9
Swerv Auto: SaaS Platform for Car Dealerships
2
9
19
8
Development of EasyBar: A Modern Marketplace for Rebar Ordering
1
8
14
8
Loan Management Platform for SBA Loans HQ
1
8
18
5
Promptly - AI System for Converting Ideas to Specs
5
12
AWS
(3)
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Advancing Data Solutions
pro
Lahore, Pakistan
AI & Data Engineer|Data & AI Architect| AWS|Azure |Snowflake
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AI & Data Engineer|Data & AI Architect| AWS|Azure |Snowflake
0
Oracle to Amazon RDS PostgreSQL Designed and Implemented a secure, scalable architecture to migrate an on-prem Oracle database to Amazon RDS for PostgreSQL. Data Flow: Modeled end-to-end flow, used AWS Glue (SCT) for schema conversion and DMS for full-load and CDC. Stored artifacts in S3 and loaded into RDS. Services: Glue for conversion, DMS for Migration , S3 for artifacts, and RDS as target. Security: IAM roles with least privilege, KMS for encryption at rest. HA & DR: Architected in us-east-1 with Glue, DMS, RDS, S3, and monitoring via CloudWatch.
0
163
0
Real-Time Analytics Platform on AWS designed to ingest, process, and visualize high-volume streaming data from IoT devices and application logs. Ingestion: Device telemetry (IoT Core) and application logs are published into Amazon Kinesis Data Streams, followed by lightweight routing and enrichment using AWS Lambda. Processing & Storage: Amazon EMR performs heavy data transformations via Spark Structured Streaming, landing the curated output into Amazon S3 as partitioned Parquet files. AWS Glue then handles batch transformations before loading the data into Amazon Redshift for the analytics workload. Orchestration & Serving: AWS Step Functions coordinate the batch processing workflows. Finally, Amazon QuickSight generates actionable business dashboards while Amazon CloudWatch monitors operational metrics and alarms
0
210
0
OnPrem .NET to AWS Migration Migrated an onโpremises .NET web application and SQL Server database to AWS to achieve scalability, high availability, and crossโregion resilience. The legacy environment ran on Windows servers with a clustered SQL Server, resulting in high maintenance and limited elasticity. The new AWS architecture features EC2 Auto Scaling behind an Application Load Balancer (ALB), Amazon RDS for SQL Server with MultiโAZ and a crossโregion read replica, and DNS failover via Route 53. โฆ Deployed the .NET application on an EC2 Auto Scaling group (Windows AMI) across private subnets in usโeastโ1. 5- Build Scalable Real-Time Data Analytics on AWS for Instant Insights Designed and implemented a real-time data analytics platform on AWS, enabling stream processing, transformation, and visualization for high-volume IoT and log data. This system was built to process and analyze millions of records per second, providing actionable insights for business decision-making. The solution leveraged AWS native services like Kinesis, Glue, Lambda, and Redshift, integrating Apache Spark Structured Streaming to handle real-time data ingestion and transformation. Airflow and Step Functions were used for workflow automation.
0
205
0
Batch ETL Data Warehouse Modernization Led modernization of a legacy batch ETL pipeline into a scalable AWS-based data warehouse. Replaced manual SQL jobs with an automated system loading diverse sources into Amazon Redshift. Ingestion: Daily CSVs and API data land in S3; S3 events trigger Lambda to launch Glue Crawlers and update the Data Catalog. Transformation: Glue PySpark jobs join and cleanse sales, inventory, and customer data, apply quality checks, and move errors to a quarantine path. Output: Partitioned Parquet files stored in S3 for loading into Redshift.
0
177
AWS
(4)
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Adil Shahzad
pro
Lahore, Pakistan
Senior DevOps & DevSecOps Engineer ยท Cloud Security
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Senior DevOps & DevSecOps Engineer ยท Cloud Security
0
Secure Kubernetes platform for a regulated environment Production Kubernetes for regulated finance, with scanning enforced in every pipeline before anything deploys. Who it was for: A regulated financial services environment. The problem. Production Kubernetes in regulated finance has to satisfy two audiences at once: engineers who need to ship, and auditors who need to see that nothing ships unchecked. What I did. Provisioned clusters and supporting networking with Terraform so the platform is reproducible and reviewable. Designed the routing layer through a gateway and ingress controllers. Built reusable pipeline workflows with image, IaC and policy scanning embedded, so the security step isn't something a team can skip under deadline โ it is the path to production. The result. Every build is scanned before deploy, and control evidence is a by-product of the pipeline rather than a separate exercise.
0
32
0
Click-ops to Terraform on live production An entire running cloud estate brought under infrastructure as code without taking production down. Who it was for: An organisation whose cloud estate had grown by hand over several years. The problem. Everything had been built through the console. Nothing was reproducible, nothing was reviewable, and nobody could say with confidence what would happen if a region went away. Rebuilding from scratch wasn't an option โ the estate was live. What I did. Imported existing resources into state rather than recreating them, working through the dependencies that don't import cleanly by hand. Refactored into modules along the way so the output stayed maintainable. Every change went through plan review before apply. The result. The full estate is under version control with reviewable changes, and the cutover ran with zero production downtime.
0
32
0
FinOps automation across seven environments Automated scheduling and rightsizing that took roughly $280k a year out of the cloud bill. Who it was for: A large regional bank running seven cloud environments. The problem. Seven environments, most of them idle outside working hours, and no visibility into which team was spending what. Cost conversations were happening after the invoice rather than before. What I did. Established a cost baseline per environment, then automated resource scheduling so non-production stopped paying for nights and weekends. Rightsized the workloads that were provisioned for peaks that never came. Built daily and weekly cost reporting so stakeholders could see the trend without asking for it. The result. Around $280k of annual run-rate removed, with ongoing reporting that keeps the saving from creeping back.
0
63
0
Driving SAMA CSF maturity from Level 2 to Level 3
0
1
AWS
(3)
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Toolshed (Data, Automation, AI Agents, Buildship, Framer)
max
Lahore, Pakistan
Data, Automation, AI Agents, Buildship, Framer, Bubble
$100k+
Earned
7x
Hired
5.0
Rating
74
Followers
Top
expert
+1
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Data, Automation, AI Agents, Buildship, Framer, Bubble
1
Financial & Usage Analytics for YC-backed healthcare startup
1
30
2
Plan Path End-User Patient Insurance Portal Development
2
26
6
Construction FP&A & Revenue AI Platform
6
314
1
Luxury Framer Architecture Portfolio
1
25
AWS
(2)
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Haris M.
pro
Lahore, Pakistan
Full Stack Web & Mobile Dev | Next Js | AI Agent | React
2x
Hired
5.0
Rating
36
Followers
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Full Stack Web & Mobile Dev | Next Js | AI Agent | React
1
Fancraft: Your AI-Powered App Review Management Platform
1
22
2
Northward Capital Investment Platform Development
2
21
2
Chat Buddy โ Real-Time Mobile Chat Application Development
2
17
1
Prodigi Studios
1
13
AWS
(1)
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Abdul Razaq Ali
pro
Lahore, Pakistan
Website & Game developer and designer.
$10k+
Earned
5x
Hired
5.0
Rating
11
Followers
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Website & Game developer and designer.
0
TecShield is a corporate website I designed and developed to showcase expertise in game development, mobile and web app development, AR/VR, and custom software solutions for startups and enterprises worldwide. The goal was to create a professional digital presence that clearly communicates the studio's capabilities and converts visitors into clients. ๐น Key Highlights: โ๏ธ Service Showcase โ Highlights core expertise across game development (Android, iOS, Web, PC, Web3/NFT, VR) and custom software/backend solutions. โ๏ธ Portfolio Integration โ Displays past projects and case studies to demonstrate range and credibility. โ๏ธ Client Testimonials โ Dedicated section featuring reviews and feedback from past clients. โ๏ธ Responsive Design โ Fully optimized layout across desktop and mobile devices. โ๏ธ Modern Web Stack โ Built for performance, fast load times, and clean navigation. โ๏ธ Lead Generation โ Streamlined contact flow designed to convert visitors into inquiries and clients. ๐ Impact: The website now serves as the studio's primary digital storefront, presenting over 10 years of game development and software expertise to a global audience. It reinforces trust through visible client testimonials and portfolio work, and continues to support ongoing growth and client acquisition.
0
425
0
F1 vr simulation
0
3
0
PerkTap Full Stack Development
0
3
2
Protectee Planner is an interactive 2D/3D room planning platform I developed to help users design, customize, and visualize spaces with an intuitive drag-and-drop experience. Built as a cross-platform web solution, it combines real-time 2D layouts with immersive 3D visualization, allowing users to create room designs, arrange furniture, and preview concepts before implementation. ๐น Key Highlights: โ๏ธ 2D & 3D Design Engine โ Developed a dual-mode planning system allowing users to seamlessly create floor layouts and explore realistic 3D environments. โ๏ธ Drag-and-Drop Furniture Editor โ Built an interactive customization system for placing, moving, and managing furniture elements within rooms. โ๏ธ Real-Time Visualization โ Enabled instant design previews with synchronized changes between 2D plans and 3D scenes. โ๏ธ Responsive Web Experience โ Created a cross-device compatible application accessible across desktop, tablet, and mobile platforms. โ๏ธ Interactive Room Customization โ Implemented tools for users to design spaces with flexibility and control without technical expertise. โ๏ธ Scalable 3D Architecture โ Developed the foundation for expanding furniture libraries, assets, and advanced planning features. ๐ Impact: Protectee Planner simplifies interior planning by combining professional-level visualization with an easy to use interface. The platform empowers users to experiment with layouts, visualize ideas in 3D, and make confident design decisions through an accessible digital planning experience.
1
2
546
AWS
(1)
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