Usaid Syed

Work style

Onsite, Hybrid, Remote

Availability

Available in 90 days

Contact details — on requestProof of Work — on request

Experience

AWS Data Engineer

Accenture Solution Pvt. Ltd. · Nov 2025 – Present

Not yet confirmed

Designed and built scalable ETL pipelines using AWS services such as S3, Glue, and EMR to ingest and process data from multiple sources into cloud-based data lakes and warehouses.
Automated and orchestrated data workflows using AWS services such as Step Functions, ensuring reliable and timely pipeline execution.
Developed and optimized data transformation logic using AWS Glue (PySpark), improving processing performance and reducing latency.
Implemented S3-based data lake architecture with lifecycle policies and archival strategies (Glacier) to optimize storage costs and data retention.
Developed pipeline automation, monitoring, and reporting, including job health checks and resource utilization tracking.
Collaborated with cross-functional teams to implement enhancements, resolve production issues, and support release deployments.
Participated in disaster recovery (DR) and data change request (DCR) activities, ensuring data availability, integrity, and compliance.
Enhanced observability by implementing monitoring and alerting using AWS CloudWatch, enabling proactive issue detection and performance tuning.
Involved in designing, developing, and maintaining data processing pipelines for large-scale banking datasets using AWS services.
The project focused on modernizing data workflows, improving performance, and ensuring high availability of critical ETL systems.

AWS Data Engineer

Tata Consultancy Services (TCS) · Aug 2022 – Oct 2025

Not yet confirmed

Designed and built scalable ETL pipelines using AWS services such as S3, Glue, and EMR to ingest and process data from multiple sources into cloud-based data lakes and warehouses.
Automated and orchestrated data workflows using AWS services such as Step Functions, ensuring reliable and timely pipeline execution.
Developed and optimized data transformation logic using AWS Glue (PySpark), improving processing performance and reducing latency.
Implemented S3-based data lake architecture with lifecycle policies and archival strategies (Glacier) to optimize storage costs and data retention.
Developed pipeline automation, monitoring, and reporting, including job health checks and resource utilization tracking.
Collaborated with cross-functional teams to implement enhancements, resolve production issues, and support release deployments.
Participated in disaster recovery (DR) and data change request (DCR) activities, ensuring data availability, integrity, and compliance.
Enhanced observability by implementing monitoring and alerting using AWS CloudWatch, enabling proactive issue detection and performance tuning.
Involved in designing, developing, and maintaining data processing pipelines for large-scale banking datasets using AWS services.
The project focused on modernizing data workflows, improving performance, and ensuring high availability of critical ETL systems.

AWS Data Engineer

J.K. Technosoft Ltd. · Dec 2021 – Aug 2022

Not yet confirmed

Designed and built scalable ETL pipelines using AWS services such as S3, Glue, and EMR to ingest and process data from multiple sources into cloud-based data lakes and warehouses.
Automated and orchestrated data workflows using AWS services such as Step Functions, ensuring reliable and timely pipeline execution.
Developed and optimized data transformation logic using AWS Glue (PySpark), improving processing performance and reducing latency.
Implemented S3-based data lake architecture with lifecycle policies and archival strategies (Glacier) to optimize storage costs and data retention.
Developed pipeline automation, monitoring, and reporting, including job health checks and resource utilization tracking.
Collaborated with cross-functional teams to implement enhancements, resolve production issues, and support release deployments.
Participated in disaster recovery (DR) and data change request (DCR) activities, ensuring data availability, integrity, and compliance.
Enhanced observability by implementing monitoring and alerting using AWS CloudWatch, enabling proactive issue detection and performance tuning.
Involved in designing, developing, and maintaining data processing pipelines for large-scale banking datasets using AWS services.
The project focused on modernizing data workflows, improving performance, and ensuring high availability of critical ETL systems.

AWS Data Engineer

Fluidonomics Solutions LPP · Feb 2021 – Dec 2021

Not yet confirmed

Designed and built scalable ETL pipelines using AWS services such as S3, Glue, and EMR to ingest and process data from multiple sources into cloud-based data lakes and warehouses.
Automated and orchestrated data workflows using AWS services such as Step Functions, ensuring reliable and timely pipeline execution.
Developed and optimized data transformation logic using AWS Glue (PySpark), improving processing performance and reducing latency.
Implemented S3-based data lake architecture with lifecycle policies and archival strategies (Glacier) to optimize storage costs and data retention.
Developed pipeline automation, monitoring, and reporting, including job health checks and resource utilization tracking.
Collaborated with cross-functional teams to implement enhancements, resolve production issues, and support release deployments.
Participated in disaster recovery (DR) and data change request (DCR) activities, ensuring data availability, integrity, and compliance.
Enhanced observability by implementing monitoring and alerting using AWS CloudWatch, enabling proactive issue detection and performance tuning.
Involved in designing, developing, and maintaining data processing pipelines for large-scale banking datasets using AWS services.
The project focused on modernizing data workflows, improving performance, and ensuring high availability of critical ETL systems.

Skills 0 proven through work

Also works with

Mentoring and Peer CoachingSOP AdherenceRequirements AnalysisProviding FeedbackProject CompletionTime ManagementSelf-Directed LearningClient FocusCluster ManagementCompliance ManagementData Integrity ManagementLoad Balancer ConfigurationLarge Dataset HandlingSlowly Changing Dimensions ImplementationDebezium UsageData MigrationHadoop UsageMedallion Architecture DesignModular System DesignEnvironment-Specific Configuration ManagementDatabase Query OptimizationGoal setting (defining key results)Power BIDashboard UI DesignLow-Latency System OptimizationApplication Performance OptimizationProcess ImprovementAWS Step Functions UsageData ValidationData LoadingPostgreSQL Database UsagePython DevelopmentPySparkData TransformationAWS Athena UsageAmazon Redshift UsageAWS LambdaAWS GlueAmazon S3AWS DeploymentETL Pipeline DevelopmentData Engineering

Proof of Work

Usaid shares this with people who ask. You'll hear back either way.

Education

Master of Technology, Not Specified

Not Specified · 2018 — 2020

Bachelor of Engineering, Mechanical Engineering

Not Specified · 2013 — 2017

Higher Secondary Certificate, Not Specified

Not Specified · 2011 — 2013

Secondary School Certificate, Not Specified

Not Specified · 2010 — 2011

Contact details

Usaid shares this with people who ask. You'll hear back either way.

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