Zubair Ali Jaleel

- Building scalable data pipeline for big data analysis in an Agile Scrum Team - Developing stream, batch and data warehousing solutions - Migrating legacy data pipelines to a scalable architecture in AWS Cloud & Snowflake - Technologies used: Snowflake, Talend, AWS, Kafka, Redis, Spark, and MySQL - Tools used: Talend Studio, IntelliJ IDEA, PyCharm, MySQL Workbench, DataGrip - CI/CD: Terraform, GitLab, Jenkins - Language: Python & Java - Industry: Online Marketing/E-commerce

- Building scalable fault tolerant solution for data analysis in AWS Cloud - Analysis of structured and unstructured sensor data using AWS services - AWS services used: S3, Lambda, Athena, QuickSight, RDS Aurora Serverless and KMS - Primary Tasks: Data cleansing, Data Analysis and Data visualization - Technologies used: AWS Services (S3, Lambda, Athena, QuickSight, RDS Aurora Serverless and Glue) - Tools used: Jupyter Notebook, PyCharm IDE, Tableau, GitHub, Jenkins - Language: Python - Industry: Automotive

- Thesis topic: 'Online and Offline analysis of machine fleet data - Big Data architecture design and evaluation'. - proposal of a new architecture which can analyse sensor data from agricultural machines during harvesting process - Implementation of online and offline Analysis Use Cases - Technologies Used: Kafka, Spark & Hortonworks Data Platform & Flow - Industry: Automotive

- Data Warehouse Analysis of machine sensor data - Technologies Used: Apache Hadoop, Apache Hive, Pig, Tableau & Hortonworks Data Platform - Industry: Automotive

- Data Mining Analysis tasks on car test data - Technologies Used: Machine Learning Algorithm - Tools Used: PySpark, IPython Jupyter Notebook, Anaconda, Pycharm - Language: Python - Industry: Automotive

- Big Data IoT (Internet of Things) project which includes development & deployment of Cloud Foundry Applications in HANA Cloud Platform - Technologies Used: Apache Spark, Apache Kafka, RabbitMQ, Hadoop, Java Spring Boot; Scala and SAPUI5. - Industry: Consumer Appliances

- Development and Unit Testing of the SOA (Service-Oriented Architecture) BPELs for the integration of Oracle products, such as OTM (Oracle Transportation Management), EBS and B2B - Technical support for OTM end users and bug fixes in SOA BPEL Components - Industry: Logistics

- Principle courses: Distributed Data Management; Recent Developments in Data Models; Information Retrieval; Advance concepts of Data Mining; Service Oriented Architecture; Digital Libraries and Content Management; Semantic Technology

Principle subjects: Algorithms and Data Structures, Programming principles with C/C++, Computer Networks, Database Systems, Data Mining and Operation Systems