Faris Hussain

• Managing high-velocity data in the trading domain, with a strong focus on developing end-to-end solutions using a modern data stack. • Hands-on experience with AWS services such as Glue, S3, Lake Formation, and Lambda. • Provisioning and managing cloud infrastructure using Infrastructure as Code (IaC) with tools like Terraform and AWS CloudFormation. • Use of modern AI tools like Cursor Ai, Copilot, Gemini. For development and speed the production ready data products.

• Migration of legacy systems to modern data architectures (Snowflake - Data Vault 2.0). • Enhanced ETL pipeline workflow process, batch processing with Talend (ETL Pipelines), and streaming with Kafka. Orchestrated Python scripts using Airflow. • Cloud architecture on platforms Snowflake, SAP Hana, SAP BODI. • Agile methodology and utilizing ServiceNow for DevOps. • Maintained version control in a Git repository and implemented the CI/CD Pipeline with Azure DevOps.

• Designed and implemented data pipelines ETL for business and machine learning model training. • Implemented Databricks/Spark, Python (Pandas, NumPy), and and Dataflow. • Familiarity with data orchestration and monitoring systems such as Airflow. • Informatica, Talend, Erwin, Data Factory. • Designed and maintained efficient data pipelines and warehouses, working with diverse database providers such as Snowflake, Redshift, Oracle, SQL Server, Postgres, Azure Synapse Analytics, and Azure.

Goal is to learn the core foundation of AI, Neural Networks and Data Cycle related to Data Engineering, Big Data Analytics, LLM, Transformer Model, RNN, LSTM, RL, Agentic AI. Machine Learning frameworks like Torch/TensorFlow for Autonomous Systems.

Hadoop, Apache Spark, MapReduce, Airflow, Kafka, the NoSQL database MongoDB, and other big data tools. Familiarity with Machine Learning project lifecycle.

Grade: 3.34 Cgpa Final Year Project QRGV Bot which represents QR guided vehicle, this thought has been embraced by the Amazon distribution center robots which were altogether actualized on Machine learning and Ai determines the briefest way, in addition, to explore itself to the predetermined area. Mechanical work on lifting racks and adjusting them. • Fully Funded by Ignite National Technology. • Top 21 List of NGIRI-2020.