Passionate about cutting-edge technologies, including Amazon, Google, and Microsoft Clouds, Secure SDLC, Software Architecture & Design, Event-Driven Microservices, Containerization (Docker/Kubernetes), Data Engineering & ETL and Terraform. Aspiring to advance my career towards becoming a software architect and ultimately a service delivery manager. Dream Job • Solution Architect for Large Scale Event-Driven Microservices-based systems with Data Engineering and Analysis Recent Skills Development • Gained hands-on experience with Kubernetes with a book reading on Kubernetes Design Patterns. • Followed “A pattern language for Microservices” from microservices.io for overall understanding. • Completed courses on Apache Kafka, Kafka Streams, Spark, and Event-Driven Microservices from Confluent cloud. • Gained hands-on experience in Governance, Policies, Organizations, Group, and Access Management on three major clouds. • Revised SOLID principles, Structural, Behavioral, and Creational Design Patterns, Domain-Driven and Hexagonal Designs. • Planned study and hands-on experience with Apache Flink and Terraform. • Completed courses on Data Analysis and Machine Learning on Kaggle. • Gained hands-on experience with the Python library Scrapy for creating data scraping jobs. • Created a Data Lake (in Azure Cloud) by capturing data from different sources using Azure Synapse Data Factory. • Performed data analysis on GA4 metric and raw event data via BigQuery and implemented algorithms like Apriori, RFM. • Used GCP Pub/Sub to perform data migration from MongoDB to BigQuery using CDC and ETL on GCP cloud. • Deployed a static website using Route 53, AWS S3, CloudFront, AWS ACM, GoDaddy domain, and CI/CD. • Implemented Test-Driven REST API using Python (Django), Java (Spring), and C#.Net with CI/CD automation on three clouds. • Participating in an incubation activity for an online service/product for Cash Flow using data analysis and ML. • Utilizing third-party APIs like Google Search Console, Klaviyo, GA4, Google Ads, Meta Ads, and Bing Ads API for data sync. • Created REST clients for accessing APIs on Google, Azure, and AWS services with permissions and access management. Soft Skills • I am not a native English speaker but can easily communicate and socialize with my colleagues. • I have been working in Swedish IT industry and have followed company processes, norms, conventions and methods. • I adjust to new environments easily and respect the points of views of other cultures, opinions and races. • I take structural approach for any task right from the requirement engineering upto the delivery of the artifacts. • I love to take challenges, learn new technologies, methodologies and difficult technical tasks.

Mudassar Majeed

PRO

Passionate about cutting-edge technologies, including Amazon, Google, and Microsoft Clouds, Secure SDLC, Software Architecture & Design, Event-Driven Microservices, Containerization (Docker/Kubernetes), Data Engineering & ETL and Terraform. Aspiring to advance my career towards becoming a software architect and ultimately a service delivery manager. Dream Job • Solution Architect for Large Scale Event-Driven Microservices-based systems with Data Engineering and Analysis Recent Skills Development • Gained hands-on experience with Kubernetes with a book reading on Kubernetes Design Patterns. • Followed “A pattern language for Microservices” from microservices.io for overall understanding. • Completed courses on Apache Kafka, Kafka Streams, Spark, and Event-Driven Microservices from Confluent cloud. • Gained hands-on experience in Governance, Policies, Organizations, Group, and Access Management on three major clouds. • Revised SOLID principles, Structural, Behavioral, and Creational Design Patterns, Domain-Driven and Hexagonal Designs. • Planned study and hands-on experience with Apache Flink and Terraform. • Completed courses on Data Analysis and Machine Learning on Kaggle. • Gained hands-on experience with the Python library Scrapy for creating data scraping jobs. • Created a Data Lake (in Azure Cloud) by capturing data from different sources using Azure Synapse Data Factory. • Performed data analysis on GA4 metric and raw event data via BigQuery and implemented algorithms like Apriori, RFM. • Used GCP Pub/Sub to perform data migration from MongoDB to BigQuery using CDC and ETL on GCP cloud. • Deployed a static website using Route 53, AWS S3, CloudFront, AWS ACM, GoDaddy domain, and CI/CD. • Implemented Test-Driven REST API using Python (Django), Java (Spring), and C#.Net with CI/CD automation on three clouds. • Participating in an incubation activity for an online service/product for Cash Flow using data analysis and ML. • Utilizing third-party APIs like Google Search Console, Klaviyo, GA4, Google Ads, Meta Ads, and Bing Ads API for data sync. • Created REST clients for accessing APIs on Google, Azure, and AWS services with permissions and access management. Soft Skills • I am not a native English speaker but can easily communicate and socialize with my colleagues. • I have been working in Swedish IT industry and have followed company processes, norms, conventions and methods. • I adjust to new environments easily and respect the points of views of other cultures, opinions and races. • I take structural approach for any task right from the requirement engineering upto the delivery of the artifacts. • I love to take challenges, learn new technologies, methodologies and difficult technical tasks.

Available to hire

Passionate about cutting-edge technologies, including Amazon, Google, and Microsoft Clouds, Secure SDLC, Software Architecture & Design, Event-Driven Microservices, Containerization (Docker/Kubernetes), Data Engineering & ETL and Terraform. Aspiring to advance my career towards becoming a software architect and ultimately a service delivery manager.

Dream Job

• Solution Architect for Large Scale Event-Driven Microservices-based systems with Data Engineering and Analysis

Recent Skills Development

• Gained hands-on experience with Kubernetes with a book reading on Kubernetes Design Patterns.
• Followed “A pattern language for Microservices” from microservices.io for overall understanding.
• Completed courses on Apache Kafka, Kafka Streams, Spark, and Event-Driven Microservices from Confluent cloud.
• Gained hands-on experience in Governance, Policies, Organizations, Group, and Access Management on three major clouds.
• Revised SOLID principles, Structural, Behavioral, and Creational Design Patterns, Domain-Driven and Hexagonal Designs.
• Planned study and hands-on experience with Apache Flink and Terraform.
• Completed courses on Data Analysis and Machine Learning on Kaggle.
• Gained hands-on experience with the Python library Scrapy for creating data scraping jobs.
• Created a Data Lake (in Azure Cloud) by capturing data from different sources using Azure Synapse Data Factory.
• Performed data analysis on GA4 metric and raw event data via BigQuery and implemented algorithms like Apriori, RFM.
• Used GCP Pub/Sub to perform data migration from MongoDB to BigQuery using CDC and ETL on GCP cloud.
• Deployed a static website using Route 53, AWS S3, CloudFront, AWS ACM, GoDaddy domain, and CI/CD.
• Implemented Test-Driven REST API using Python (Django), Java (Spring), and C#.Net with CI/CD automation on three clouds.
• Participating in an incubation activity for an online service/product for Cash Flow using data analysis and ML.
• Utilizing third-party APIs like Google Search Console, Klaviyo, GA4, Google Ads, Meta Ads, and Bing Ads API for data sync.
• Created REST clients for accessing APIs on Google, Azure, and AWS services with permissions and access management.

Soft Skills

• I am not a native English speaker but can easily communicate and socialize with my colleagues.
• I have been working in Swedish IT industry and have followed company processes, norms, conventions and methods.
• I adjust to new environments easily and respect the points of views of other cultures, opinions and races.
• I take structural approach for any task right from the requirement engineering upto the delivery of the artifacts.
• I love to take challenges, learn new technologies, methodologies and difficult technical tasks.

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Experience Level

Google Cloud
Expert
Java
Expert
AngularJS
Expert
Azure
Expert
C++
Expert
Data Visualization
Expert
API
Expert
AWS
Expert
JavaScript
Expert
Kubernetes
Expert
Python
Expert
.NET
Expert
Amazon Web Services
Expert
Data Science
Expert
Django
Expert
See more

Language

English
Advanced

Education

Masters in Software Engineering of Distributed Systems at KTH, Stockholm Sweden
August 15, 2007 - September 30, 2009

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Computers & Electronics, Professional Services, Retail, Other, Energy & Utilities, Telecommunications, Travel & Hospitality, Gaming, Consumer Goods
    uniE613 Multiple Projects
    • Gained hands-on experience with Kubernetes with a book reading on Kubernetes Design Patterns. • Followed “A pattern language for Microservices” from microservices.io for overall understanding. • Completed courses on Apache Kafka, Kafka Streams, Spark, and Event-Driven Microservices from Confluent cloud. • Gained hands-on experience in Governance, Policies, Organizations, Group, and Access Management on three major clouds. • Revised SOLID principles, Structural, Behavioral, and Creational Design Patterns, Domain-Driven and Hexagonal Designs. • Planned study and hands-on experience with Apache Flink and Terraform. • Completed courses on Data Analysis and Machine Learning on Kaggle. • Gained hands-on experience with the Python library Scrapy for creating data scraping jobs. • Created a Data Lake (in Azure Cloud) by capturing data from different sources using Azure Synapse Data Factory. • Performed data analysis on GA4 metric and raw event data via BigQuery and implemented algorithms like Apriori, RFM. • Used GCP Pub/Sub to perform data migration from MongoDB to BigQuery using CDC and ETL on GCP cloud. • Deployed a static website using Route 53, AWS S3, CloudFront, AWS ACM, GoDaddy domain, and CI/CD. • Implemented Test-Driven REST API using Python (Django), Java (Spring), and C.Net with CI/CD automation on three clouds. • Participating in an incubation activity for an online service/product for Cash Flow using data analysis and ML. • Utilizing third-party APIs like Google Search Console, Klaviyo, GA4, Google Ads, Meta Ads, and Bing Ads API for data sync. • Created REST clients for accessing APIs on Google, Azure, and AWS services with permissions and access management.