Steffi Christopher
Summary
- Engineering leader with 13+ years of experience in building highly scalable software and data products using distributed systems and big data technologies
6+ years of managing multiple teams of managers and team leads focusing on data engineering, data science, data analytics, and machine learning - Strong technical background in data acquisition, integration, quality assurance, and data governance
- Proven ability to translate business requirements into data-driven solutions using machine learning algorithms like NLP, Logistic Regression, SVM, and Neural Networks
- Solid understanding of large scale distributed systems with experience in processing huge volumes of data using Kafka, Spark, and NoSQL databases on AWS and Azure
- Experience in data analytics and business intelligence using Python and SQL
- Strong experience in managing, hiring, and mentoring engineers and data scientists in a fast-paced environment
Overview
13
13
years of professional experience
Work History
Director of Engineering, Data
Spekit Inc
06.2022 - Current
- Established the Data Engineering org at Spekit and managed 3 teams of 12 engineers, and engineering managers responsible for developing data products to enable value-driven insights
- Formulated engineering processes including CI/CD, TDD framework, Data Observability, and Data Governance to achieve regulatory compliance per GDPR and CCPA
- Partner and work cross-functionally with Product, Sales, Marketing, and Customer Success teams to build, enhance, and support Spekit's resilient, scalable, customer-centric data mesh platform
- Implemented Data as a Product for various internal stakeholders using Databricks on AWS
- Developed ETL pipelines and analytics data warehouse using dbt and customer-facing analytics platforms using Tableau and Explo
- Designed and implemented company-wide real-time event tracking system using Segment to gain insights into product usage and customer behavior to drive retention and minimize churn
- Built a summarizer to facilitate real-time learning using LLMs to reduce content generation time by 50%
- Hired and mentored high-caliber managers and engineers with diverse technical strengths and backgrounds across geographically dispersed teams
Engineering Manager
Pattern Energy
03.2019 - 06.2022
- Managed 3 teams of data engineers, data scientists, and technical leads that developed and maintained data products supporting Geotechnical, Finance, and Accounting teams
- Developed real-time data processing solutions to process extensive volume data from SCADA systems in globally located wind turbines to power analytics dashboard and provide executive management with metrics like MWh production and revenue generation using Kafka, Apache Flink, and Cassandra
- Built prediction models in Python using Logistic Regression, Random Forest, and Neural Networks to predict probability of wind generation for specific regions with varying wind conditions
- Improved forecasting methods to predict net megawatts generated across all wind farms by 10% using SVM best tuning and Quantile Regression Forest
- Implemented data infrastructure required to manage components in AWS using services like Terraform, EC2, EMR, ECS, and S3
- Supported Accounting and FP&A teams with financial data for their monthly and quarterly planning, close process, variance analysis, and reporting in Tableau and Power BI
Lead Software Engineer
Pattern Energy
03.2017 - 03.2019
- Designed and implemented a batch data pipeline to process IoT data from SCADA systems using Azure Data Factory, resulting in a 50% reduction in processing time
- Built multiple ETL jobs from ERP and CRM systems to power data warehouse in Snowflake using Airflow
- Developed a self-service dashboard in Power BI for the Geotechnical teams resulting in a 25% increase in data-driven decision making
- Built text mining frameworks using NLP from incident logs to analyze failure conditions for wind turbines
- Actively mentored junior engineers on the team and built a strong engineering culture focusing on agile methodologies and engineering best practices
Senior Software Engineer
Pattern Energy
07.2014 - 03.2017
- Designed and developed an analytics engine to process financial events using Java, Hadoop, and MapReduce
- Implemented automation for financial reporting using Power Automate and Power BI that saved around 5,000 hours annually for end users
- Completed SOX process documentation to comply with internal and external data governance guidelines
Software Engineer
Cisco Systems
02.2012 - 07.2014
- Automated ETL processes, making it easier to wrangle data and reducing latency between systems
- Formulated approaches for automation and optimization of data reporting workflows, resulting in 80% reduction in manual data input
- Created SQL scripts to extract and reshape data in alignment with business needs, leading to a remarkable 95% enhancement in accuracy
- Developed dashboards to provide crucial performance trends and insights using Tableau
Software Engineer
Sempra Energy
09.2011 - 12.2011
- Created analytics dashboards in OBIEE by translating business requirements into technical solutions
Education
Master of Science - Computer Science
Southern Polytechnic State University
Atlanta, GA07.2011
Bachelor of Engineering - Electrical & Electronics Engineering
CMR Institute of Technology (VTU)
Bangalore, India05.2009
Skills
- Languages: Python, Java
- Data Frameworks: Spark, Kafka, Flink, Hadoop, Hive
- Data Warehouse: Databricks, Snowflake
- Databases: Cassandra, HBase, Postgres, MySQL
- Cloud Technologies: AWS, Azure
- Tools: Terraform, CloudFormation, Ansible
- Platforms: Kubernetes, Docker
- ML Framework: Keras, PyTorch, TensorFlow, AutoViML
Timeline
Director of Engineering, Data
Spekit Inc
06.2022 - Current
Engineering Manager
Pattern Energy
03.2019 - 06.2022
Lead Software Engineer
Pattern Energy
03.2017 - 03.2019
Senior Software Engineer
Pattern Energy
07.2014 - 03.2017
Software Engineer
Cisco Systems
02.2012 - 07.2014
Software Engineer
Sempra Energy
09.2011 - 12.2011
Master of Science - Computer Science
Southern Polytechnic State University
Bachelor of Engineering - Electrical & Electronics Engineering
CMR Institute of Technology (VTU)
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