At Discovery Analytics Inc., I build and maintain CI/CD pipelines and provision AWS infrastructure with reusable Terraform and CloudFormation modules. I also support Docker applications and Kubernetes workloads across deployment and release activities.
I implement monitoring, logging, and alerting with Prometheus, Grafana, CloudWatch, and the ELK Stack. I investigate production issues and coordinate corrective actions with development and operations teams.
At Tata Consultancy Services (TCS), I built CI/CD pipelines with Jenkins, GitHub Actions, GitLab CI, and Argo CD, reducing failed deployments from 12% to under 2%. I managed Kubernetes platforms across EKS, AKS, and GKE that ran 200+ pods at 99.99% uptime.
I also developed data pipelines with Python, PySpark, Airflow, and Databricks, processing 10M+ records per day at 99.9% reliability into Snowflake and Redshift. My projects include an Airflow-based data quality monitor and a Flask CI/CD pipeline, open source at https://github.com/aleemsayyad786/flask-cicd-pipeline.
