Data Engineering Governance

Chinthala Srujan Reddy

Email: ********************@*****.*** Mobile: 682-***-**** Location: Lewisville, TX

PROFESSIONAL SUMMARY

7+ years of experience in data engineering, specializing in cloud solutions and data pipeline development.

Expertise in designing and implementing scalable data architectures on cloud platforms such as AWS and Azure.

Proficient in building complex data pipelines using Python, SQL, and NoSQL databases, enhancing data availability and reliability.

Strong background in data governance principles, ensuring compliance and quality across data workflows.

Demonstrated ability to mentor junior team members, fostering a culture of knowledge sharing and continuous improvement.

Proven track record of delivering analytical tools and data visualization solutions that drive business insights and decision-making.

Skilled in managing multiple projects simultaneously, with a focus on timely delivery and stakeholder collaboration.

SKILLS

Programming Languages: Python, SQL, Java, Scala, Go, DAX, R, Bash, C#, TypeScript

Frameworks & Libraries: Apache Spark, Apache Kafka, Pandas, NumPy, Flask, Streamlit, TensorFlow, Scikit-learn

Databases & Data Warehousing: MySQL, PostgreSQL, MongoDB, Amazon Redshift, Google BigQuery, Azure Cosmos DB, Snowflake, Teradata

Big Data & Streaming: Hadoop, Apache Airflow, Apache NiFi, Apache Flink, Kinesis, Azure Data Lake, Delta Lake, Spark Streaming

Cloud Platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Azure Synapse Analytics, AWS Glue, AWS Lambda

DevOps & CI/CD Tools: Docker, Kubernetes, Jenkins, Git, Terraform, Ansible, Azure DevOps, AWS CodePipeline

Testing & QA: Apache JMeter, Postman, PyTest, unittest, Selenium, Great Expectations, dbt, Dataform

Security & Compliance: Data Encryption, IAM, GDPR Compliance, HIPAA Compliance, AWS Shield, Azure Security Center, Data Masking

Monitoring & Observability: Prometheus, Grafana, AWS CloudWatch, Azure Monitor, ELK Stack, Splunk, Datadog, New Relic

Collaboration Tools: Jira, Confluence, Slack, Trello, Microsoft Teams, Zoom, Asana, GitHub

Documentation Tools: Markdown, LaTeX, Confluence, Google Docs, Microsoft Word, Visio, Notion

Operating Systems: Linux, Windows, macOS, Ubuntu, Red Hat, CentOS

WORK EXPERIENCE

Bank of America – Plano, TX

Senior Data Engineer – Nov 2023 to Present

Spearheaded the development of scalable data pipelines in AWS, optimizing data flow processes that improved ETL performance by 40%.

Engineered complex data architectures that support analytics and visualization, enhancing operational efficiency and data accessibility for stakeholders.

Collaborated with cross-functional teams to implement data governance standards, improving data quality and compliance across multiple platforms.

Automated data ingestion processes using Apache Kafka and AWS Glue, reducing manual intervention and increasing data pipeline reliability by 30%.

Mentored junior data engineers, providing guidance on best practices in data engineering and governance, fostering a culture of continuous learning and improvement.

Conducted presentations for management on data strategy and governance initiatives, contributing to informed decision-making processes.

Leveraged AWS Lambda and Python to develop serverless applications for real-time data processing, enhancing agility and responsiveness of data services.

Implemented monitoring solutions using AWS CloudWatch and Grafana to ensure high availability and performance of data pipelines and services.

Developed and maintained documentation for data architectures and governance policies, ensuring clarity and compliance across teams.

Engaged in knowledge-sharing sessions to promote innovative data solutions and techniques, driving team capabilities forward.

Technologies Used: AWS, Python, SQL, Apache Kafka, AWS Glue, AWS CloudWatch, Docker, Grafana, Terraform, Jenkins

St. Jude Children’s Research Hospital – Memphis, TN

Data Engineer – Jan 2021 to Jul 2023

Designed and developed data pipelines that integrated various data sources, improving data accessibility and reporting capabilities across departments by 35%.

Conducted data wrangling and exploratory data analysis to identify new business insights, leading to enhanced decision-making processes for clinical research initiatives.

Collaborated with data scientists to implement machine learning models, utilizing Python and Spark for predictive analytics that improved patient outcomes.

Established and maintained data quality frameworks, ensuring data integrity and compliance with regulatory standards across the organization.

Automated reporting processes using Power BI and SQL, reducing manual reporting time by 50% and increasing data-driven insights for stakeholders.

Participated in agile project management methodologies, contributing to sprint planning and retrospective meetings to improve team performance and delivery.

Assisted in migrating legacy data systems to cloud platforms, enhancing data processing capabilities and reducing operational costs by 20%.

Developed comprehensive documentation for data workflows and governance standards, ensuring compliance and knowledge retention within the team.

Presented findings and data insights to senior management, facilitating strategic planning and resource allocation.

Engaged in continuous learning and professional development, obtaining AWS and Azure certifications to enhance skill set and contribute to team success.

Technologies Used: Python, SQL, Power BI, Spark, AWS, Azure, Docker, Apache Airflow, MongoDB, Git

Meijer – Grand Rapids, MI

Data Engineer – May 2018 to Dec 2020

Developed and maintained ETL processes that supported business intelligence initiatives, increasing data availability for analytics by 50%.

Collaborated with business analysts to gather requirements and design data solutions that met specific business needs, improving stakeholder satisfaction and engagement.

Implemented data governance policies, ensuring data accuracy and compliance with industry standards, which reduced data discrepancies by 25%.

Created data visualization dashboards using Tableau, enabling real-time insights and improved reporting capabilities for management.

Conducted performance tuning and optimization of SQL queries, resulting in a 40% reduction in query execution times and enhanced system performance.

Participated in cross-functional teams to drive data strategy initiatives, contributing to the overall data architecture and governance framework.

Engaged in knowledge sharing and training sessions to promote best practices in data engineering and analytics across the organization.

Assisted in data migration efforts to cloud-based solutions, ensuring seamless transitions and minimal disruption to operations.

Developed and executed test plans for data integrity and quality assurance, ensuring high standards of data reliability.

Actively contributed to process improvement initiatives, identifying inefficiencies and implementing solutions that enhanced operational workflows.

Technologies Used: SQL, Tableau, Python, AWS, Azure, MongoDB, Apache Airflow, Git, Docker, Jenkins

CERTIFICATIONS

• Azure Data Engineer Associate (DP-203)

• AWS Certified Solutions Architect – Associate

• Databricks Lakehouse Fundamentals

EDUCATION

Masters in Information Systems, Trine University – 4.0 GPA

Contact this candidate