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@skylershahid1
Senior Data Engineer driving scalable cloud-native data platforms and real-time pipelines.
I am a Senior Data Engineer with 12+ years building scalable data pipelines, data lakes, and real-time processing systems across AWS and GCP.
I design and implement cloud-native analytics platforms using tools like AWS Glue, S3, Redshift, BigQuery, Kafka, and Spark, and I focus on reducing latency and improving performance.
I lead engineering teams, introduce CI/CD and infrastructure-as-code (Terraform, Jenkins, GitLab CI), and enforce data governance and metadata strategies to ensure reliable, compliant data operations.
My work has included large migrations to cloud platforms, implementing streaming architectures that cut latency to seconds, and improving deployment efficiency and infrastructure cost-effectiveness.
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Work history, roles, and key accomplishments
TakeOut7
Jan 2022 - Present (3 years 10 months)
Architected cloud-native data pipelines with AWS Glue, S3, Redshift and Lambda to enable scalable analytics across business units; implemented Kafka + Spark streaming reducing data latency from hours to seconds and introduced CI/CD to cut deployments 40%.
Designed and maintained large-scale Spark and Kafka pipelines on AWS, led migration from on-premises to cloud reducing processing time 40%, and implemented data quality frameworks and automated testing to improve reliability.
AstroPrint
Jul 2014 - Dec 2017 (3 years 5 months)
Developed batch and real-time ETL processes with Python, Airflow, and SQL to integrate multiple sources into a unified data warehouse, improving analytics and reducing infrastructure costs by 25%.
Charles IT
Aug 2012 - Jun 2014 (1 year 10 months)
Supported database design and ETL development in PostgreSQL and MySQL, wrote complex SQL and stored procedures, and helped deploy BI dashboards to improve department reporting.
Degrees, certifications, and relevant coursework
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science from Virginia Tech.
Software and tools used professionally
Amazon Redshift
Matillion
Apache Spark
AWS Glue
Apache Flink
Apache Hive
Druid
Talend
Google Cloud Platform
GitLab
Kubernetes
Jenkins
CircleCI
GitLab CI
dbt
DB
MySQL
PostgreSQL
MongoDB
Microsoft SQL Server
Cassandra
Hadoop
HBase
IBM DB2
Gmail
Redis
Terraform
Java
Logstash
Kafka
Apache NiFi
Grafana
Kibana
Prometheus
Elasticsearch
Ansible
Amazon Aurora
Apache Storm
Airflow
Google BigQuery
Luigi
SQL
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