Imtisal

Senior Data Engineer

LXT AI • Full-time

Jan 2025 - Present • 1 yr 9 mos

• Working with LXT.ai, a leading provider of AI training data and annotation services, to design and manage scalable data solutions supporting their global client base. • Designed and managed automated data pipelines for cleaning, transformation, and reporting using Python and Google Cloud Platform (GCP) and Amazon Web Services (AWS) services, improving data processing efficiency. • Developed scalable data workflows that transformed raw inputs into client-ready deliverables, significantly enhancing system performance and scalability. Additionally, designed interactive dashboards using Amazon QuickSight to drive data-driven decision-making. • Maintained collaboration and version control through Git platforms, ensuring system health and workflow reliability via monitoring and alerting mechanisms.

Junior Consultant Data Analytics

Dataropes • Full-time

Jan 2023 - Jan 2025 • 2 yrs

• Managed and delivered data-driven solutions for leading global clients across diverse industries, including real estate, telecommunications, e-commerce, digital marketing, and healthcare. • Designed and implemented scalable data pipelines across GCP and Azure, enabling production-ready, cloud-native solutions • Built data pipelines using Python and GCP services like Pub/Sub, Cloud Scheduler, Cloud Functions, Workflows, VM, Cloud Build, Cloud Run, Cloud Source Repositories, Cloud Composer, Vertex AI, and BigQuery. • Developed advanced data warehouse solutions with BigQuery and orchestrated ETL pipelines via Apache Airflow • Migrated and integrated data from APIs, databases, CRMs, and different format files into BigQuery and Azure SQL • Automated deployments with Cloud Build, Cloud Run, CI/CD pipelines, and managed custom processing on Compute Engine VMs • Docker and Artifact Registry for containerization and secure image storage • Created Google Sheets automation to send data to BigQuery using App Script • Used Retool, Zapier, Stitch, Supermetrics, and Fivetran in low-code and fully managed ETL workflows • Implemented monitoring and alerting for data pipelines. • Optimized existing pipelines to improve robustness, efficiency, and reliability. • Delivered BI dashboards and reports using Looker and Sigma Computing to drive stakeholder insights and decision-making

DevOps Trainee Engineer

SkipQ • Full-time

Jun 2022 - Dec 2022 • 6 mos

1) Designed and implemented CI/CD pipelines to automate build, testing, and deployment processes for production-grade applications. 2)Built and deployed scalable cloud infrastructure on AWS (EC2, S3, IAM, VPC, Cloud Formation). 3)Performed regression troubleshooting and resolved production-level issues to ensure system stability. 4)Managed application deployments with focus on high availability and minimal downtime. 5)Implemented monitoring, logging, and alerting mechanisms to proactively detect failures and performance bottlenecks. 6)Optimized infrastructure performance and improved deployment efficiency through automation. 7)Collaborated with development teams to ensure seamless release cycles and stable production environments.