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Suqing Liu

@suqingliu

Senior Data Engineer at Icare NSW who modernized legacy ETL into a Snowflake Lakehouse and cut critical batch windows by 50%.

Australia

Message

At Icare NSW, I designed and built an AWS-to-Snowflake Lakehouse framework that modernized legacy ETL and reduced critical batch processing windows by 50%. I also automated ingestion and reconciliation workflows, eliminating discrepancies and saving hours of manual operator work each week.

At Macquarie Group, I delivered a reporting data platform that automated 300+ recurring reports and retired 40+ legacy pipelines. I also built Kafka-based reconciliation and Kubernetes-native workflows, and optimized data jobs to reduce runtime by 30%.

Earlier, I built AWS data analytics infrastructure and streaming pipelines at Australian Broadcasting Corporation (ABC), and developed cloud data solutions at Cognizant Servian and Arq Group. At Plutora, I delivered BI solutions, dashboards, and SQL optimizations for product, operational, and customer reporting.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Icare NSW

Jan 2026 - Present (8 months)

Led legacy ETL modernization by designing a scalable AWS to Snowflake Lakehouse framework, reducing batch processing windows by 50%. Enforced Snowflake security and automated data ingestion and reconciliation workflows.

AWS S3 Glue DynamoDB Snowflake Lambda EventBridge Snowpipe RBAC Data Masking Data Quality Anomaly Detection

Senior Data Engineer

Macquarie Group

Jul 2022 - Jan 2026 (3 years 6 months)

Designed and delivered an enterprise-grade reporting data platform, automating 300+ reports and retiring 40+ legacy pipelines. Built a metadata-driven reconciliation system and deployed Kubernetes-native workflows on AWS EKS.

Kafka AWS MSK (Kafka)Amazon EKS ArgoWorkflows ArgoCD Airflow AWS Glue PySpark DBT Splunk Grafana Power BI OAuth IAM

Data Engineer

Australian Broadcasting Corporation (ABC)

Jan 2022 - Jul 2022 (6 months)

Built a cost-optimized AWS data analytics stack processing 1TB+ daily data volume while cutting cloud costs by 35%. Engineered Airflow and PySpark pipelines and developed executive dashboards for real-time KPIs.

AWS S3 Glue Athena Redshift EMR Lambda Airflow PySpark Power BI Redash Snowplow Tealium Google Analytics Salesforce

Data Consultant

Cognizant Servian

Mar 2021 - Jan 2022 (10 months)

Built automated cloud data ingestion on AWS using DMS, Glue, Step Functions, and Infrastructure as Code, reducing manual reporting effort by 80%. Developed event-driven pipelines and standardized dbt transformation modules.

AWS DMS Glue Step Functions CloudFormation IAM Secrets Manager Cloudwatch EventBridge SNS Amazon SQS CodeBuild Redshift S3 DBT

Data Consultant

Arq Group

Jan 2020 - Mar 2021 (1 year 2 months)

Built scalable ingestion architectures in Azure using Data Factory and Azure Functions, ingesting from 30+ sources into ADLS Gen2. Developed distributed transformations using Azure Databricks, reducing ETL execution times by 70%.

Azure Data Factory Azure Functions ADLS Gen2 Databricks Delta Lake PySpark Databricks SQL ARM Templates Key Vaults

Data & BI Developer

Plutora

Feb 2014 - Jan 2020 (5 years 11 months)

Delivered end-to-end BI solutions including relational data modelling, data marts, and reporting. Built interactive dashboards in Logi Analytics and Tableau, and optimized SQL Server stored procedures and indexing.