- Design and implement ETL pipelines: Configure and maintain ETL processes to ensure seamless data flow from multiple sources to central storage, including data extraction, transformation, and integration.- Data Cleaning and Preprocessing: Prepare raw data for analysis by handling missing data, standardizing formats, and ensuring data quality and consistency across datasets.- Pipeline Automation and Optimization: Automate and optimize data pipelines using tools like Apache… Show more - Design and implement ETL pipelines: Configure and maintain ETL processes to ensure seamless data flow from multiple sources to central storage, including data extraction, transformation, and integration.- Data Cleaning and Preprocessing: Prepare raw data for analysis by handling missing data, standardizing formats, and ensuring data quality and consistency across datasets.- Pipeline Automation and Optimization: Automate and optimize data pipelines using tools like Apache Airflow to enhance performance and scalability, ensuring efficient data processing in real-time or batch modes. Show less

- Data-Driven Decision Making: Utilizing advanced data analytics and AI to support Sales and Operations Planning, improving forecasting accuracy and operational efficiency.- Predictive Analytics: Implementing predictive models using machine learning techniques to anticipate demand and optimize inventory levels.- Integration and Automation: Streamlining S&OP processes through the integration of data sources and automation tools like Python and R.- Visualization and Reporting:… Show more - Data-Driven Decision Making: Utilizing advanced data analytics and AI to support Sales and Operations Planning, improving forecasting accuracy and operational efficiency.- Predictive Analytics: Implementing predictive models using machine learning techniques to anticipate demand and optimize inventory levels.- Integration and Automation: Streamlining S&OP processes through the integration of data sources and automation tools like Python and R.- Visualization and Reporting: Developing interactive dashboards and reports using Tableau and Power BI to provide real-time insights.- Collaboration and Strategy: Working closely with cross-functional teams to align data-driven strategies with business objectives and enhance S&OP effectiveness. Show less

- Infrastructure Automation: Implementing and managing infrastructure as code (IaC) using tools like Terraform, Ansible, and CloudFormation.- CI/CD Pipeline Management: Designing, deploying, and maintaining continuous integration and continuous delivery (CI/CD) pipelines using Jenkins, GitLab CI, or CircleCI.- Cloud Services Management: Overseeing cloud infrastructure on AWS, Azure, or Google Cloud Platform, ensuring optimal performance, scalability, and cost-efficiency.-… Show more - Infrastructure Automation: Implementing and managing infrastructure as code (IaC) using tools like Terraform, Ansible, and CloudFormation.- CI/CD Pipeline Management: Designing, deploying, and maintaining continuous integration and continuous delivery (CI/CD) pipelines using Jenkins, GitLab CI, or CircleCI.- Cloud Services Management: Overseeing cloud infrastructure on AWS, Azure, or Google Cloud Platform, ensuring optimal performance, scalability, and cost-efficiency.- Containerization and Orchestration: Leading the deployment of containerized applications using Docker and Kubernetes, managing clusters and ensuring high availability.- Monitoring and Incident Response: Setting up comprehensive monitoring solutions with Prometheus, Grafana, and ELK stack, and leading incident response to maintain system reliability and uptime. Show less

- Data Integration: Integrating data from various sources using Apache Kafka and Talend for seamless data flow.- Advanced Analytics: Conducting advanced analytics using Python and R, leveraging libraries such as SciPy, Statsmodels, and Scikit-learn.- Data Visualization: Building comprehensive visualizations and reports using Tableau, Power BI, and Looker to drive business insights.- Cloud Data Management: Managing and optimizing cloud data infrastructure using Google BigQuery… Show more - Data Integration: Integrating data from various sources using Apache Kafka and Talend for seamless data flow.- Advanced Analytics: Conducting advanced analytics using Python and R, leveraging libraries such as SciPy, Statsmodels, and Scikit-learn.- Data Visualization: Building comprehensive visualizations and reports using Tableau, Power BI, and Looker to drive business insights.- Cloud Data Management: Managing and optimizing cloud data infrastructure using Google BigQuery, Amazon Redshift, and Snowflake.- Data Quality Assurance: Implementing data quality and governance frameworks using tools like Alation and Collibra to ensure data integrity and compliance. Show less

- IT Infrastructure Management: Overseeing the management and maintenance of IT infrastructure, including servers, networks, and storage systems using technologies like VMware, Windows Server, and Cisco.- Project Management: Leading IT projects from initiation to completion using agile methodologies (Scrum) and traditional methods (Waterfall) with tools like Jira and Microsoft Project.- Cybersecurity Oversight: Implementing and managing cybersecurity policies and protection systems… Show more - IT Infrastructure Management: Overseeing the management and maintenance of IT infrastructure, including servers, networks, and storage systems using technologies like VMware, Windows Server, and Cisco.- Project Management: Leading IT projects from initiation to completion using agile methodologies (Scrum) and traditional methods (Waterfall) with tools like Jira and Microsoft Project.- Cybersecurity Oversight: Implementing and managing cybersecurity policies and protection systems using firewalls (Fortinet) and antivirus software (Symantec).- Vendor and Stakeholder Management: Coordinating with technology vendors and internal stakeholders to ensure effective delivery of IT services and solutions.- Budgeting and Cost Control: Managing IT budgets and controlling costs to maximize operational efficiency and ensure return on investment in technologies. Show less

- Collaboration: Working with senior developers and cross-functional teams to understand requirements and deliver solutions.- Learning and Development: Continuously improving technical skills and knowledge through training, code reviews, and mentorship.- Code Documentation: Creating and maintaining documentation for code, ensuring clarity and ease of understanding for other developers and stakeholders.

- Coding and Development: Writing, testing, and maintaining code using programming languages such as Java, or C#.- Software Testing: Assisting in the development and execution of test plans to ensure software quality and functionality.- Bug Fixing: Debugging and performing root cause analysis to identify software defects, implementing solutions, and verifying fixes through regression testing.

- Production Scheduling: Creating and managing production schedules using Excel to ensure timely delivery and efficient use of resources.- Data Management: Utilizing SQL to extract, analyze, and manage production data for accurate forecasting and reporting.- Inventory Control: Implementing and managing Kanban systems to optimize inventory levels and streamline the production process.- Process Optimization: Identifying and implementing process improvements to enhance production… Show more - Production Scheduling: Creating and managing production schedules using Excel to ensure timely delivery and efficient use of resources.- Data Management: Utilizing SQL to extract, analyze, and manage production data for accurate forecasting and reporting.- Inventory Control: Implementing and managing Kanban systems to optimize inventory levels and streamline the production process.- Process Optimization: Identifying and implementing process improvements to enhance production efficiency and reduce waste.- Cross-functional Coordination: Collaborating with various departments to align production plans with business goals and resolve scheduling conflicts. Show less

- Participated in the professional development program for Trainee Engineers.- Received practical and theoretical training to develop technical skills.- Worked under the supervision of experienced engineers on projects and analyses.- Participated in formal learning activities, such as courses and workshops.- Actively contributed to the objectives of the department and the organization.