Open to opportunities

Yasir Yusuf

@yasiryusuf

Message

Data Engineer specialising in scalable cloud data pipelines and real-time analytics.

United Kingdom

Message

What I'm looking for

I seek Data Engineering roles where I’d be engaged in building scalable, secure data platforms, whether on-prem or on cloud platforms, with strong CI/CD and IaC practices. I am a result-driven individual, so I am looking to make an impact with my domain experience across various sectors

I am a senior big data engineer with over eight years of experience designing, developing, and optimising large-scale data solutions across AWS, Azure, GCP, and on-premises Hadoop ecosystems.

I have led migrations to cloud platforms, architected serverless and streaming pipelines using AWS Glue, Lambda, Kinesis, Azure Data Factory, Event Hubs and Google Pub/Sub, and improved query and ETL performance using Redshift, Synapse, BigQuery and dbt.

Throughout my career, I have been engaged in cost-efficient, secure data architectures, infrastructure-as-code (Terraform, CloudFormation), CI/CD automation, and cross-functional collaboration to deliver production-ready data platforms that enable analytics, ML workflows, and real-time use cases.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

British Petroleum

Nov 2024 - Present (1 year 2 months)

Manage and automate data pipelines across Azure and AWS, improving ETL performance and building scalable data warehouse and real-time streaming solutions that enhanced query performance by 40%.

Azure DevOps AWS RedShift AWS Glue Pyspark AWS Kinesis Lambda Terraform CI CD

AWS Data Engineer

British Airways

Feb 2024 - Oct 2024 (8 months)

Designed AWS data lakes and ETL pipelines using S3, Glue and EMR, optimized querying with Athena and Redshift, and automated infrastructure and deployments to improve data integration and operational efficiency.

AWS S3 AWS Glue EMR Athena Redshift Kinesis Terraform GitHub Actions Kafka

Data Engineer

Reckitt Benckiser

Aug 2022 - Feb 2024 (1 year 6 months)

Built and automated ETL pipelines and data lakes on Azure, implemented CI/CD for dbt projects and Terraform modules, and improved real-time ingestion and query performance across Synapse and ADLS.

Azure Data Factory ADLS Azure Synapse DBT Terraform Azure Functions azure monitor CI CD

Senior Data Engineer

Citigroup

Jan 2021 - Jul 2022 (1 year 6 months)

Optimized ETL workflows and integrated multi-source data into AWS Redshift, reducing processing times by 30% and implementing serverless pipelines for near-real-time transaction processing and governance with dbt/Snowflake.

AWS Glue Redshift Lambda Kinesis DBT Snowflake EMR Terraform Python

Big Data Engineer

NFU Mutual

Oct 2019 - Dec 2020 (1 year 2 months)

Developed and managed Dataproc/Spark and serverless workflows on GCP, built BigQuery models with dbt and Pub/Sub streaming solutions to enable scalable analytics and automated CI/CD pipelines.

Google Cloud Dataflow BigQuery Pub Sub DBT Google Cloud Functions GKE CI CD Python

Azure Data Engineer

Prudential

Dec 2017 - Sep 2019 (1 year 9 months)

Engineered big data solutions with Azure Data Factory, Synapse and HDInsight, built serverless ETL and real-time streaming with Event Hubs, and delivered analytics dashboards to drive data-driven decisions.

Azure Data Factory Azure Synapse HDInsight Azure Event Hubs Databricks Pyspark AKS Power BI Airflow

Data Engineer

Morrisons

Mar 2015 - Nov 2017 (2 years 8 months)

Developed Spark Structured Streaming analytics and migrated legacy systems to Cloudera, improving processing speeds by 40% and automating ingestion and orchestration with Sqoop and Oozie.