Ali Bin Kashif

Data Engineer

November 2024 - Present

MarketLytics

At MarketLytics, I specialize in developing scalable data solutions that drive actionable insights and operational and cost efficiency. My work involves building robust pipelines, integrating advanced analytics, and delivering impactful products for our clients.

• Collaborated with the DE team and built a data pipeline which ingest raw data from Stripe, PayPal, Shopify, Thrivecart, and Clickfunnels into BigQuery with incremental syncs. Created views in BigQuery with scheduled queries and Looker dashboards for unified revenue tracking, reducing manual revenue tracking time by 80% and delivering accurate, actionable reports for business stakeholders.


• Led a complete refactor of a client’s data infrastructure that was previously scattered across 30+ Google Cloud Functions with no CI/CD or documentation. I consolidated these into a single FastAPI-based microservice, containerized with Docker, and deployed on Cloud Run. Using Terraform, I automated the entire infrastructure setup and introduced GitHub Actions for CI/CD, ensuring automated builds, testing, and deployments. I also integrated Slack alerts and structured logging for better observability. This transformation reduced deployment time by 80%, improved reliability, and made the system fully maintainable with clear version control and documentation.


• Built and deployed Muawin, a real-time anomaly detection system that uses the SARIMA model to monitor key metrics of e-commerce and send automated Slack alerts and reports. The product was containerized with Docker, deployed on Cloud Run, and uses Flask as a backend.


• Designed a cost-effective pipeline to migrate web analytics data from BigQuery → GCS → Snowflake, achieving 90% cost savings over the client’s existing solution.


• Developed complex queries for data transformation and analytics in Databricks and Metabase, enabling data-driven decision-making for stakeholders.


• Built an automated pipeline to fetch data from the GA4 API into BigQuery, enabling seamless integration of web analytics data for further analysis.


• Implemented Slack Alerts system in data pipelines for notifications of successful runs and if any errors that occurred, so that prompt action can be made.


• Built a real-time revenue attribution pipeline triggered by webhooks, transforming and sending session-mapped data into GA4.


• Built custom GPTs and chatbots integrated with BigQuery, allowing clients to chat with their data and instantly generate tables, visualizations, and aggregated data and get quick insights simply by writing prompts.

Data and AI Trainee

June 2024 - August 2024

MarketLytics

• Developed an efficient anomaly detection system using Python and the Prophet model to identify unusual patterns and trends.
• Integrated web analytics data from Google Analytics 4 into Google BigQuery.
• Implemented real-time alerts on Slack with comprehensive report generation.
• Created the API using Flask and containerized using Docker.
• Deployed the pipeline on Google Cloud Run, ensuring a robust and scalable architecture for the pipeline.

Product Impact: Muawin helps clients monitor their web analytics data effectively, enhancing their ability to respond swiftly and accurately to data irregularities.

Associate Software Developer

2023 - 2023

The Game Storm Studios Pvt. Ltd.

• Worked on various Android and iOS games using C# and Unity.
• Worked closely with senior developers to understand project requirements.
• Collaborated with the design team to implement user-friendly interfaces.

Game Developer Apprentice

June 2023 - August 2023

Mindstorm Studios

• Collaborated with other developers and assisted in developing mobile games.
• Participated in code reviews and contributed to improving code quality.
• Gained hands-on experience, learned industry best practices and professional behaviour.