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Click here or scroll down to respond to this candidateCandidate's Name
Senior Data Engineer | Big Data Specialist | Transforming Raw Data
Into Actionable Insights
EMAIL AVAILABLE PHONE NUMBER AVAILABLE
Minneapolis, Minnesota, Street Address , United States
Profile
Harnessing 11+ years of expertise in the tech domain, I'm a seasoned Senior Data Engineer and Big Data Engineer
committed to sculpting raw data into actionable insights. Thriving in startup environments, I excel in cutting-edge
technologies, cloud solutions, and programming languages like Python, Java, and Scala. My forte lies in crafting robust
data architectures and executing efficient ETL processes across diverse database systems. I seamlessly navigate AWS,
Google Cloud, and Azure, delivering impactful projects that drive transformative change.
Professional Experience
2019 present Principal Data Engineer
California Calls
Spearheaded the implementation of Apache NiFi and Apache Kafka, revolutionizing data
movement processes.
Architected robust data solutions aligned with organizational objectives, driving
impactful projects forward.
Led a proficient team of data engineers, leveraging hands-on expertise in ETL
instruments to deliver actionable insights.
Stayed abreast of emerging technologies, ensuring California Calls maintains a
competitive edge.
Contributed significantly to the company's mission by delivering data driven insights and
driving innovation.
Guided the integration of AI and machine learning capabilities, enhancing predictive
analytics.
Fostered a culture of continuous improvement, optimizing data architectures and
scalability.
Mentored junior engineers, fostering talent development and a high performing
workforce.
2016 2019 Senior Data Engineer
Apple
Spearheaded complex data processing workflows at Apple, employing cutting-edge SQL
techniques and Python scripting for seamless ETL operations.
Architected scalable solutions utilizing Java and Scala alongside Apache Kafka and
Apache Spark for real-time data processing and analysis, fostering agile decision-making.
Orchestrated optimization strategies for data movement and transformation, ensuring
flawless integration within Apple's dynamic data ecosystem, enhancing operational
efficiency.
Directed a proficient team of data engineers, fostering a culture of innovation and
efficiency, resulting in the delivery of actionable insights vital for strategic decision-
making.
Championed data integrity initiatives, playing a pivotal role in upholding Apple's
commitment to excellence and innovation, while operating in a senior leadership
capacity.
Leveraged advanced technologies including Hadoop, Hive, and HBase to manage large-
scale data sets effectively, enhancing scalability and performance.
Implemented machine learning algorithms using TensorFlow and PyTorch to extract
deeper insights from data, driving innovation and competitive advantage.
Collaborated with cross-functional teams to design and implement robust data pipelines,
ensuring the timely delivery of high-quality data for analytics and reporting purposes.
Provided mentorship and guidance to junior team members, fostering their professional
development and contributing to the overall success of the organization.
2013 2016 Data Integration Specialist
Confidential
Led optimization initiatives across database and storage solutions, significantly enhancing
performance across various RDBMS platforms such as Oracle, MySQL, and PostgreSQL.
Spearheaded the implementation and fine-tuning of NoSQL databases, including
MongoDB and Cassandra, to meet evolving data requirements and improve data
management capabilities.
Streamlined data warehousing processes using platforms like Amazon Redshift and
Snowflake, ensuring efficient storage and retrieval of critical data assets.
Integrated columnar storage systems like Apache Parquet and time-series databases such
as InfluxDB, enhancing data analysis capabilities and enabling deeper insights.
Contributed significantly to the company's data-driven success by facilitating streamlined
data management and analysis processes while working in a senior data engineering
capacity.
Led a team of data engineers in developing and maintaining ETL pipelines using Apache
NiFi and Talend, ensuring data consistency and reliability.
Utilized Apache Kafka for real-time data streaming and message brokering, improving
data flow and processing efficiency.
Implemented data security measures and compliance protocols, including data encryption
and access controls, to safeguard sensitive information.
Enhanced performance of big data ecosystems using Hadoop and Spark, optimizing
processing speeds and resource utilization.
Applied advanced SQL and PL/SQL techniques to optimize query performance and
reduce latency across various database systems.
Pioneered the adoption of cloud-based storage solutions like Amazon S3 and Google
Cloud Storage, achieving scalable and cost-effective data management.
Collaborated with cross-functional teams to integrate data solutions with business
intelligence tools such as Tableau and Power BI, enabling comprehensive data
visualization and reporting.
Led data migration projects, transitioning legacy systems to modern, scalable
architectures with minimal downtime and data loss.
Designed and implemented backup and disaster recovery solutions, ensuring data
integrity and availability in case of unforeseen events.
Fostered a culture of continuous improvement within the team, encouraging the adoption
of best practices and the latest technological advancements in data engineering.
Education
Master's Degree , Big Data Analyst
San Diego State University
Skills
Advanced SQL Techniques Python Scripting
ETL Processes Java, Scala
Apache Kafka Apache Spark
Data Processing Data Analysis
Apache Flink Hadoop Ecosystem
Database Management NoSQL Databases
RDBMS Columnar Storage Systems
PostgreSQL, MySQL, Oracle Parquet, ORC
Time-series Databases Data Warehousing
InfluxDB, TimescaleDB Amazon Redshift, Snowflake
Data Movement Apache NiFi
Cloud Platforms Big Data Technologies
AWS, Google Cloud, Azure
Data Modeling
Data Transformation
Data Transformation
Data Modeling
istributed Computing
Agile Methodologies
Data Security
Data Pipelines
Statistical Analysis
Data Governance
Data Visualization
Machine Learning
GitLab
Google Data Studio
Jenkins
Snowflake
PyTorch
Prometheus
Bitbucket
Kubernetes
Tableau
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