Freelance Cloud Infrastructure Architects in GujranwalaFreelance Cloud Infrastructure Architects in Gujranwala
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Hafiz Suleman's avatar
Hafiz Suleman
proGujranwala, Pakistan
Big Data Engineer and Data Architect with AWS and Azure
Big Data Engineer and Data Architect with AWS and Azure
Cover image for OnPrem .NET to AWS Migration Migrated
OnPrem .NET to AWS Migration Migrated an on‐premises .NET web application and SQL Server database to AWS to achieve scalability, high availability, and cross‐region 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 Multi‐AZ and a cross‐region read replica, and DNS failover via Route 53. ◦ Deployed the .NET application on an EC2 Auto Scaling group (Windows AMI) across private subnets in us‐east‐1. 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.
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Cover image for Real-Time Analytics Platform on AWS
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
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Cover image for Batch ETL Data Warehouse Modernization Led
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.
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Cover image for Oracle to Amazon RDS PostgreSQL Designed
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 Kinesis (DMS) for full-load and CDC. Stored artifacts in S3 and loaded into RDS. Services: Glue for conversion, Kinesis for replication, 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.
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Cloud Infrastructure Architect(1)
Junaid Hassan's avatar
Junaid Hassan
Gujranwala, Pakistan
AI Automation Architect for Law Firms & B2B Companies
New to Contra
AI Automation Architect for Law Firms & B2B Companies
Cover image for Built a complete multi-tenant SaaS
Built a complete multi-tenant SaaS control centre — solo. Every law firm gets their own isolated environment, managed from one superadmin dashboard. → Real-time client & revenue monitoring → Per-tenant billing with plan management (Starter / Professional / Enterprise) → One-click tenant activation, suspension & white-label branding control → Live system status — zero manual oversight → Built for scale — not just for one client This is what separates a real SaaS from a freelance project. Architecture designed, built, and owned entirely by me.
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Cover image for 𝗻𝟴𝗻 𝘃𝘀 𝗭𝗮𝗽𝗶𝗲𝗿 — 𝗧𝗵𝗲
𝗻𝟴𝗻 𝘃𝘀 𝗭𝗮𝗽𝗶𝗲𝗿 — 𝗧𝗵𝗲 𝗧𝗿𝘂𝘁𝗵 𝗡𝗼𝗯𝗼𝗱𝘆 𝗧𝗲𝗹𝗹𝘀 𝗬𝗼𝘂 𝗔𝗯𝗼𝘂𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Everyone recommends Zapier. I recommend what actually works in production. 𝗭𝗮𝗽𝗶𝗲𝗿 is easy. 𝗻𝟴𝗻 is powerful. The difference matters when: → Your workflow has real logic → Your data is sensitive → Your scale makes per-task pricing painful → You need custom code — not pre-built connectors 𝟮𝟰 active workflows running. 𝟵𝟴.𝟳% success rate this month. 𝟭,𝟮𝟬𝟳 tasks automated. Not with Zapier. With n8n — custom code nodes, self-hosted, built for production. If you want automation that breaks on edge cases — use Zapier. If you want automation that runs your business permanently — 𝗹𝗲𝘁'𝘀 𝘁𝗮𝗹𝗸.
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Cover image for Designed the complete product experience for
Designed the complete product experience for a legal SaaS — from positioning to conversion architecture. → AI-powered legal automation for Pakistani law firms — appointments, cases, documents → Tiered pricing system (Starter to Enterprise) → 99.9% uptime SLA — production grade → Setup under 30 minutes — zero friction → Pakistani payment methods integrated Every word, every flow, every feature — designed around one goal: law firms that run themselves.
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Cover image for Designed and built a full
Designed and built a full AI legal assistant from scratch — live, embedded, and serving real clients around the clock. → Handles Family Law, Property, Criminal, Inheritance, Divorce & Civil cases → Smart quick-question routing — no typing needed → Live appointment booking built directly in → 100% confidential by architecture → Available 24/7 — zero downtime, zero staff This isn't a chatbot template. Every response layer, every practice area, every flow — designed and trained by me personally.
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Cloud Infrastructure Architect(1)