Developed data engineering solutions in the GCP environment.

Built and orchestrated complex data pipelines using Airflow.

Developed streaming and batch processing data pipelines.

Built complex data pipelines using different technologies and integrations.

Designed and modeled data for building a unified DWH.

Built and automated deployments using CI/CD pipelines.

Built data ingestion pipelines to get data from various sources.

Transformed and cleaned data using PySpark over Databricks.

Designed a unified data model to combine all data from different sources and formats.

Built and stored all data in a centralized data lake.

Created an automated the data pipeline to do all ETL logic using Data Factory.

Automated Databricks job deployments along with Data Factory pipelines using Azure DevOps.

Worked and processed data in the Snowflake data warehouse.

Designed data pipelines for different data source types using GCP cloud technologies.

Developed and implemented ETL jobs using Apache Spark.

Developed and implemented analytical jobs using Spark.

Developed and built geospatial analysis models with Spark to do parallel geoprocessing.

Implemented and developed data pipelines to ingest data from on-premise clusters into a cloud data lake.

Developed dashboards for businesses using Tableau.

Worked and developed use cases on on-premise clusters.

Migrated data and jobs from on-premise to cloud clusters.

Designed and applied modeling for data stores to be used for reporting.

Built a data processing platform to process seismic events.

Created a RESTful API to store and retrieve seismic data and files.

Used Kafka as a message bus between all modules.

Implemented Redis as a cache to store data needed to accessed frequently by the pipeline.

Built an admin UI by Django to administer configurations and saved objects.

Integrated the API with different processing pipeline stages to trigger sync-and-async processing of data.

Migrated and converted a Flask API to a Django RESTful API.

Worked with docker containerized environments for different pipeline modules.

Worked with automated deployment pipelines on Kubernetes.

Developed and ran components on the Microsoft Azure cloud platform.

Developed new business use cases with big data technologies.

Created analytical and ETL jobs using Spark.

Built data pipelines to ingest data into different data lakes like Azure DataLake.

Developed new PoCs for customers to build big data platforms over cloud environments.

Constructed a real-time monitoring platform to monitor all customers servers hosted on cloud.

Implemented a new centralized Elasticsearch to collect metrics from all customers servers.

Designed and built multiple dashboards for systems monitoring use cases using Tableau and Power BI.

Developed multiple automated scripts for most day-to-day tasks.

Handled and optimized the performance of the big data platforms.

Managed the Hadoop clusters with all included services.

Developed scripts and modules that automate day-to-day tasks.

Led a squad for automation and self-monitoring activities.

Upgraded on-premise Hadoop cluster version.

Managed and added new nodes and disks to on-premise Hadoop.

Installed and built the security of Hadoop clusters using Kerberos, Knox, and Ranger.

Worked on different cloud platforms like Azure and AWS.

Developed analysis and segmentation models to build customer profiles.

Created offering and campaign applications to create targeted and non-targeted campaigns that reach millions of customers daily.

Built real-time engines that serve and fulfill millions of customer requests per hour.

Designed and developed massive complex platforms that interact with many different systems.

Developed real-time location based advertising platform to send users offers based on their current location.

Developed multiple data monetization solutions to be used by third-party advertisers.

Developed and integrated the campaigns applications with many channels to empower business to reach users using there preferred channels.

Built many web applications to empower business users to easily interact with campaigns platform.

Designed and put architecture of DWH models for reporting and segmentations.

Developed ETL and Integration jobs from different sources to DWH.

Designed and implemented new database models for reporting purposes.

Developed extraction jobs and stored procedures.

Implemented Business Objects universes and developed Business Objects reports.

Developed custom Crystal Reports.

Performed data transformation.

Deployed and fixed issues for production ETL jobs, data mining, and analytic models.

Developed new shell scripts for automatic monitoring and alarms for production issues.

Developed new modules in core banking applications.

Handled a full migration of the trade finance applications from Sybase to a SQL server.

Implemented a full-service interface for a trade finance application.

Developed custom reports using Crystal Reports.