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@funaveed
Results-driven Data Engineer with 11+ years of experience.
United StatesI am a results-driven Data Engineer with over 11 years of experience in designing scalable data pipelines and architecting cloud-native platforms. My expertise spans across AWS, Azure, and GCP ecosystems, where I have developed real-time data solutions that transform raw data into actionable insights. I am passionate about leveraging my skills to drive business intelligence and machine learning initiatives.
In my current role as a Lead Data Engineer at PureLogics, I architected a cloud-native data platform using AWS Glue, Lambda, and Redshift, achieving sub-second latency for analytics. I have a proven track record of mentoring teams, optimizing infrastructure, and collaborating across functions to deliver enterprise-grade data systems. My commitment to data governance and security ensures that our solutions are not only efficient but also compliant with industry standards.
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Work history, roles, and key accomplishments
PureLogics
Jun 2022 - Present (3 years 5 months)
Architected a cloud-native data platform using AWS Glue, Lambda, Redshift, and Terraform, supporting batch and streaming workloads. Developed real-time data pipelines using Apache Flink, Kafka, and Kinesis, achieving sub-second latency for analytics and alerting.
Gryffindor Pro LLC
Mar 2017 - Present (8 years 8 months)
Designed and implemented end-to-end ETL workflows using Apache Airflow, Apache NiFi, and Python, handling over 1 TB of data daily. Managed data warehousing environments across Amazon Redshift and Google BigQuery, including schema design and performance tuning.
Degrees, certifications, and relevant coursework
HUBachelors of Computer Science, Computer Science
2010 - 2014
Studied foundational computer science principles and practices. Gained expertise in various programming paradigms and software development methodologies.
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
AWS Glue
Apache Flink
Apache Hive
Talend
Microsoft Azure
Google Cloud Platform
AWS Step Functions
GitHub
GitLab
Kubernetes
Jenkins
GitHub Actions
GitLab CI
Pandas
PySpark
MySQL
PostgreSQL
MongoDB
SQLite
Cassandra
Hadoop
InfluxDB
HBase
Gmail
Yarn
Redis
Terraform
Pulumi
Azure DevOps
Jira
Java
F#
TensorFlow
PyTorch
MLflow
scikit-learn
Kafka
Apache NiFi
Grafana
Prometheus
OpenTelemetry
Ansible
Kafka Streams
Airflow
Google BigQuery
TimescaleDB
Amazon Web Services (AWS)
SQL
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