Latest AI/Data Talent

Data Engineer/

Cloud Engineer

• Salary Expectations: $150k (Permanent Role)
• Expertise in Big Data & AI Model Development
• Cloud Infrastructure & Data Pipeline Optimization
• Cross-Platform Integration & Scalability

Tech Stack: AWS Cloud Platform, Redshift, QuckSight, IAM Security, Microsoft Azure Platform, Azure Data Factory, Pipelines, Azure Warehouse, Azure Storage, Data Lake, Cloud Shell, HDInsight, Snowflake (Storage/Notification Integration, Snowpipe, Tasks, Stage, Clone, Shares), Data Streaming/Continuous Data Integration, Python, Anaconda, PyCharm

An accomplished Data Engineer and AI Specialist with a deep understanding of big data frameworks, advanced analytics, and AI-driven solutions. This candidate demonstrates a strong capacity for designing and implementing scalable data pipelines and optimizing cloud infrastructures. With extensive experience across high-impact roles, they bring a results-oriented approach to transforming complex datasets into actionable insights. Skilled in leading projects within dynamic, multi-disciplinary environments, they are well-versed in integrating cross-platform systems to enhance operational efficiencies.

Data Engineer

• Salary Expectations: $120k to $130k (Permanent Role)
• Expertise in Data Pipelines, AI/ML Applications, and Cloud Platforms
• Advanced Analytics, Data Engineering, and Visualizations

Tech Stack: SQL, Presto SQL, SQL server, MySQL, Spark Pyspark, PySparkSQL, Mlib, GraphFrames, AWS S3, Lambda, Glue, Athena, Kinesis, CloudWatch, DynamoDB, SQS, SNS, API, Gateway, QuickSight, EventBridge, Step Function, EFS, SES,Azure Devops, Terraform, Serverless, Cloudformation.

A skilled Data Engineer with over four years of experience in building and optimizing scalable, reusable data pipelines. With expertise in cloud platforms like AWS and Azure, this professional has developed robust solutions for real-time and batch data processing using tools such as Airflow, Databricks, and PySpark. They have successfully addressed data quality challenges and improved the accuracy of machine learning models, contributing to more effective business decision-making and operational efficiency.

This candidate has extensive experience in designing end-to-end pipelines, creating advanced data visualizations, and managing data validation processes. Proficient with tools like Power BI and AWS QuickSight, they specialize in translating complex datasets into actionable insights. A fast learner and team-oriented professional, they bring technical expertise and strategic thinking to deliver significant value through data-driven solutions.

Data Scientist / Research Specialist 

• Expertise in Predictive Modeling, Machine Learning, and Data Analysis
• Proficient in Signal Processing, Bayesian Models, and Statistical Analysis

A highly skilled Data Scientist with a PhD in Electrical Engineering and extensive experience in research and industry roles. This professional specializes in predictive modeling, machine learning, and advanced data analysis, leveraging tools such as Python, R, and SQL. With a strong foundation in Bayesian approaches, they have applied their expertise to diverse projects, from analyzing EEG signals for medical research to developing predictive models for business metrics in the technology sector.

In their current role, they design and implement data pipelines using AWS and Snowflake, create custom data models, and provide actionable insights through dashboards for stakeholders. Their research background includes leading initiatives in brain activity analysis, developing machine learning algorithms for health data, and publishing findings in peer-reviewed journals.

Skilled in collaborating with cross-functional teams, training junior staff, and managing complex datasets, this candidate combines technical acumen with strategic thinking to deliver impactful, data-driven solutions.