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Click here or scroll down to respond to this candidateCandidate's Name
Senior Data Engineer | Expert In Data Warehousing, Big Data
Pipelines, And AWS Infrastructure | Leader In Data Governance &
Performance Optimization
Address Yonkers, Street Address New York
Phone PHONE NUMBER AVAILABLE
E-mail EMAIL AVAILABLE
Highly skilled Data Engineer with over 12 years of experience architecting, implementing, and
optimizing robust data solutions. Proficient in diverse database technologies including SQL, NoSQL,
and cloud-based platforms (AWS, Azure, GCP), specializing in enhancing database performance,
ensuring data integrity, and driving efficient data management practices.
Key Expertise:
Data Architecture and Design: Designed and implemented scalable data architectures, including
data modeling and schema design for optimal performance and flexibility.
Data Warehousing and ETL: Expertise in developing and managing data warehousing solutions (Star
Schema, Snowflake Schema) and implementing ETL processes (Informatica, Talend, Apache NiFi).
Cloud-Based Solutions: Extensive experience in managing and optimizing data infrastructures on
AWS, Azure, and GCP, ensuring high availability and performance.
Performance Optimization: Proven track record in performance tuning and optimization of big data
applications, reducing latency and improving system throughput.
Data Governance and Security: Developed and implemented comprehensive data governance
policies, ensuring compliance with regulatory requirements (GDPR, HIPAA) and best practices in
data security.
Collaboration and Leadership: Strong leadership and collaboration skills, adept at translating
business requirements into effective database designs. Mentored and led teams of data engineers,
fostering a culture of continuous learning and professional development.
Websites, Portfolios, Profiles
LINKEDIN LINK AVAILABLE
Skills
Technical Skills:
Database Management Systems: SQL (MySQL,
PostgreSQL, SQL Server), NoSQL (MongoDB, Cassandra,
Redis), Cloud-based Databases (Amazon Redshift,
Google BigQuery, Azure SQL Database).
Big Data Technologies: Apache Spark, Apache
Kafka, Hadoop Ecosystem (HDFS, Hive, Pig).
Cloud Platforms: AWS (S3, EMR, Glue, Redshift),
Azure (Data Factory, SQL Database, Blob Storage),
Google Cloud Platform (BigQuery, Dataflow, Cloud
Storage).
Programming Languages: SQL, Python, Java, Scala.
Development Tools: Visual Studio, Visual Studio
Code, Git, SVN.
Performance Tuning and Optimization: Query
Optimization, Indexing Strategies, System Metrics
Monitoring, Database Clustering and Replication.
Data Governance and Security: Data Quality
Monitoring, Compliance, Security Measures (Role-
Based Access Control, Encryption, Authentication).
Collaboration and Communication: Cross-
Functional Teamwork, Requirement Gathering,
Technical Documentation, Mentorship and Training.
Additional Skills: Machine Learning Integration,
Predictive Analytics, Continuous
Integration/Continuous Deployment (CI/CD), Agile
Methodologies (Scrum, Kanban).
Work History
2018-01 - Current Lead Data Engineer
Contractor
Spearheaded the development and implementation of a comprehensive
data warehousing solution, enabling seamless consolidation and analysis of
diverse data sources across the organization
Architected and implemented scalable data pipelines using Apache Spark
and Apache Kafka, processing millions of records daily with exceptional
efficiency and reliability
Led a team of data engineers in building robust and fault-tolerant data
infrastructure on AWS, leveraging technologies such as Amazon Redshift,
Amazon EMR, and AWS Glue
Developed and enforced data governance policies and procedures to
ensure compliance with regulatory requirements and industry standards
Collaborated closely with data scientists and business analysts to
operationalize machine learning models and integrate predictive analytics
into core business processes
Implemented rigorous performance tuning and optimization strategies for big
data applications, significantly enhancing overall system throughput by
resolving critical performance bottlenecks
Established proactive data quality monitoring and alerting systems, promptly
identifying and addressing data anomalies and discrepancies
Conducted knowledge sharing and cross-training sessions to elevate team
members' proficiency in emerging technologies and data engineering best
practices.
2014-01 - 2018-01 Senior Data Engineer
Elixir Technologies
Designed and implemented scalable database architectures for enterprise-
level applications, ensuring high availability, reliability, and optimal
performance
Developed and optimized complex SQL queries, stored procedures, and
triggers to support business requirements and enhance system efficiency
Implemented and managed high availability and disaster recovery solutions
through database clustering, replication, and robust backup strategies
Led database performance tuning initiatives, identifying and resolving
performance bottlenecks to improve application response times and overall
throughput
Collaborated closely with cross-functional teams, including software
developers, system administrators, and business analysts, to define database
schemas and meet project requirements
Conducted regular database health checks, monitoring system metrics, and
executing proactive maintenance tasks to minimize downtime and data loss
risks
Provided mentorship and technical guidance to junior data engineers,
fostering a culture of continuous learning and professional growth within the
team.
2013-01 - 2014-01 Data Engineer
ICT R&D Fund (Ignite)
Designed and developed robust relational database schemas and data
models to support enterprise applications, ensuring data consistency and
integrity
Implemented comprehensive database security measures, including role-
based access control (RBAC), encryption, and authentication mechanisms
to protect sensitive data
Optimized database performance through effective indexing strategies,
query optimization, and fine-tuning of database configuration parameters
Implemented ETL (Extract, Transform, Load) processes to migrate data from
legacy systems to modern database platforms, ensuring accuracy and
completeness of data transfers
Collaborated closely with software development teams to integrate
database functionality into web and mobile applications, providing support
during development and testing phases
Conducted thorough code reviews and performed rigorous unit testing to
uphold the quality and reliability of the database codebase.
Education
Bachelor of Science
New York University
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