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I am a data engineering professional with 11+ years of experience designing and delivering scalable data solutions across on-premises and multi-cloud environments. I specialize in database development, ETL/ELT pipelines, data modeling, reporting, and big data platforms using Databricks, Delta Lake, Apache Iceberg, Trino, Starburst Galaxy, and Apache Superset. I am proficient in cloud-native data platforms across AWS, Azure, GCP, and Snowflake, and I excel in Python, SQL, Unix Shell, Bash, and PowerShell. I build automation scripts, data parsers, and APIs, and I collaborate with cross-functional teams to deliver governed, cost-optimized platforms and actionable analytics.…I am a data engineering professional with 11+ years of experience designing and delivering scalable data solutions across on-premises and multi-cloud environments. I specialize in database development, ETL/ELT pipelines, data modeling, reporting, and big data platforms using Databricks, Delta Lake, Apache Iceberg, Trino, Starburst Galaxy, and Apache Superset. I am proficient in cloud-native data platforms across AWS, Azure, GCP, and Snowflake, and I excel in Python, SQL, Unix Shell, Bash, and PowerShell. I build automation scripts, data parsers, and APIs, and I collaborate with cross-functional teams to deliver governed, cost-optimized platforms and actionable analytics.

Anisa Sayyed

Back-End Developer, Full Stack Developer, Cloud Developer, +2

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I am a data engineering professional with 11+ years of experience designing and delivering scalable data solutions across on-premises and multi-cloud environments. I specialize in database development, ETL/ELT pipelines, data modeling, reporting, and big data platforms using Databricks, Delta Lake, Apache Iceberg, Trino, Starburst Galaxy, and Apache Superset. I am proficient in cloud-native data platforms across AWS, Azure, GCP, and Snowflake, and I excel in Python, SQL, Unix Shell, Bash, and PowerShell. I build automation scripts, data parsers, and APIs, and I collaborate with cross-functional teams to deliver governed, cost-optimized platforms and actionable analytics.…I am a data engineering professional with 11+ years of experience designing and delivering scalable data solutions across on-premises and multi-cloud environments. I specialize in database development, ETL/ELT pipelines, data modeling, reporting, and big data platforms using Databricks, Delta Lake, Apache Iceberg, Trino, Starburst Galaxy, and Apache Superset. I am proficient in cloud-native data platforms across AWS, Azure, GCP, and Snowflake, and I excel in Python, SQL, Unix Shell, Bash, and PowerShell. I build automation scripts, data parsers, and APIs, and I collaborate with cross-functional teams to deliver governed, cost-optimized platforms and actionable analytics.

Available to hire

I am a data engineering professional with 11+ years of experience designing and delivering scalable data solutions across on-premises and multi-cloud environments. I specialize in database development, ETL/ELT pipelines, data modeling, reporting, and big data platforms using Databricks, Delta Lake, Apache Iceberg, Trino, Starburst Galaxy, and Apache Superset.

I am proficient in cloud-native data platforms across AWS, Azure, GCP, and Snowflake, and I excel in Python, SQL, Unix Shell, Bash, and PowerShell. I build automation scripts, data parsers, and APIs, and I collaborate with cross-functional teams to deliver governed, cost-optimized platforms and actionable analytics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Senior Data Engineer at Maximus

January 1, 2020 - November 5, 2025

Led the design and implementation of end-to-end data pipelines using Azure Data Factory and Azure SQL Database for government-centric applications, delivering a 30% improvement in data flow efficiency. Architected scalable, cost-efficient cloud-native solutions on Azure, improving system performance and reducing costs by 20%. Built and deployed data pipelines to Azure Data Lake and Azure Synapse Analytics for scalable storage and analytics, cutting processing times by 25%. Integrated AI/ML use cases into data pipelines with Azure Machine Learning and Azure Databricks, enhancing decision-making and improving model accuracy by 15%. Implemented CI/CD pipelines with Azure DevOps, accelerating delivery cycles and increasing pipeline stability by 40%. Drove governance and security using Azure Key Vault and Azure Active Directory, and collaborated with cross-functional teams to align data platforms with business requirements, achieving a 30% improvement in operational efficiency. Implemented

Data Engineer at Cognizant

December 31, 2020 - December 31, 2020

Built data pipelines on Azure Data Factory, automating data movement from on-premises to cloud storage (Azure Data Lake, Azure Blob). Optimized query performance by 30%. Designed real-time data pipelines using Kafka and Azure Event Hubs, reducing latency by 40% and enhancing real-time analytics capabilities. Created containerized microservices with Docker and Kubernetes for scalable deployments, improving system scalability and reducing deployment time by 35%. Assisted in implementing data orchestration using Apache Airflow, automating complex workflows to manage large-scale data transformations, improving workflow efficiency by 50%. Managed data security with Azure AD and RBAC, ensuring compliance with GDPR. Implemented data governance with Azure Purview and Data Catalog, improving data traceability and compliance. Optimized ETL workflows to reduce costs by 15%. Implemented monitoring with Prometheus and Grafana to ensure 99.9% uptime.

Junior Data Engineer at Toshiba

December 31, 2017 - December 31, 2017

Assisted in building ETL pipelines using AWS Data Pipeline and Azure Data Factory, enabling the smooth transfer of data from on-premise databases to cloud storage. Developed data transformation scripts to load data into AWS Redshift and Azure Synapse. Gained hands-on experience with Apache NiFi for data ingestion and system integration. Contributed to cloud migration projects moving on-premise data to AWS S3, Google Cloud Storage, and Azure Blob Storage. Supported batch processing with Hadoop for big data analytics and developed data pipelines using AWS Lambda and Google Cloud Functions to automate data extraction and transformation tasks.