Senior Data Engineer - Cloud Data Platforms & ML Enablement

Srujan Reddy Chinthala

Email: ********************@*****.*** Mobile: 682-***-**** Location: Texas, United States

PROFESSIONAL SUMMARY

Over 5 years of experience as a Data Engineer, specializing in building and operating scalable data platforms and infrastructures for enterprise applications.

Proven expertise in designing and implementing robust data solutions that support real-time and batch processing, enhancing analytics and AI/ML capabilities.

Strong proficiency in programming languages including Python, Scala, and Java, with advanced SQL skills for efficient data manipulation and querying.

Experienced in cloud platforms such as AWS and Azure, leveraging services like EC2, S3, and Lambda to optimize data workflows and storage solutions.

Demonstrated ability to lead technical initiatives, influencing stakeholders and collaborating with cross-functional teams to deliver high-quality data solutions.

Skilled in data orchestration tools and frameworks including Apache Spark, Airflow, and Kafka, driving innovation and operational excellence in data processing.

Committed to mentoring engineering teams, ensuring adherence to best practices in system design, code reviews, and debugging for maintainable codebases.

Recognized for contributions to enhancing data infrastructure reliability, performance, and cost-efficiency while defining SLAs and leading incident response efforts.

SKILLS

Programming Languages: Python, Scala, Java, SQL, R, JavaScript, C#, Go

Operating Systems: Windows, Linux, MacOS

Cloud Platforms: AWS (EC2, S3, Lambda, RDS), Azure (Data Lake, SQL Database), GCP

DevOps & CI/CD: Docker, Kubernetes, Jenkins, Git, Terraform

Development Tools: Apache Spark, Apache Airflow, dbt, Kafka, Snowflake, Databricks

Reporting Tools: Power BI, Tableau, Looker, Excel, PowerPoint

Frameworks & Libraries: TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy

Databases & Data Warehousing: MySQL, PostgreSQL, MongoDB, Redshift, BigQuery

Big Data & Streaming: Apache Hadoop, Apache Flink, Apache Beam

Testing & QA: JUnit, PyTest, Selenium

Security & Compliance: GDPR, HIPAA, ISO 27001

Monitoring & Observability: Prometheus, Grafana, ELK Stack

Collaboration Tools: JIRA, Confluence, Slack, Microsoft Teams

Documentation Tools: Markdown, LaTeX, Google Docs

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

B.Tech in Electrical and Electronic Engineering VBIT Not specified

WORK EXPERIENCE

Bank of America – Plano, TX

Senior Data Engineer – Nov 2023 to Present

Spearheaded the design and implementation of a scalable data pipeline architecture, enhancing data processing efficiency by 40% and significantly reducing latency in data retrieval for analytics.

Optimized existing ETL processes using Apache Spark, resulting in a 30% reduction in data processing time and improved data accuracy across multiple business units.

Collaborated with cross-functional teams to integrate machine learning models into the data platform, driving predictive analytics capabilities that improved decision-making for risk management.

Automated data validation processes using Python scripts, which decreased manual intervention by 50% and increased the reliability of data inputs for reporting.

Led the migration of on-premise data solutions to AWS, achieving a cost reduction of 20% while enhancing system scalability and performance.

Conducted thorough data analysis and pre-processing, ensuring high-quality input for machine learning models, which improved model accuracy by 25%.

Mentored junior data engineers, fostering a culture of continuous learning and collaboration, which resulted in a 15% increase in team productivity.

Defined and monitored SLAs for data processing tasks, ensuring operational excellence and timely delivery of data solutions to stakeholders.

Evaluated and integrated modern data technologies, such as Snowflake and Kafka, to enhance the capabilities of the data platform and support real-time analytics.

Championed data governance initiatives, implementing best practices that improved compliance with regulatory standards and enhanced data security protocols.

Technologies Used: Python, Apache Spark, AWS, Snowflake, Kafka, ETL, Data Warehousing, SQL, Machine Learning, Data Governance

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

Data Engineer – Jan 2022 to Jul 2023

Engineered a robust data lake architecture using Azure Data Lake Storage, which improved data accessibility and reduced retrieval times by 35% for research teams.

Automated data ingestion processes from various sources, leveraging Azure Data Factory, which streamlined workflows and improved data freshness for analytics.

Collaborated with data scientists to implement machine learning models, enhancing predictive capabilities for patient outcomes and optimizing resource allocation.

Developed comprehensive data quality frameworks that identified and resolved data discrepancies, leading to a 20% increase in data reliability for clinical research.

Spearheaded the integration of real-time data streaming using Azure Stream Analytics, enabling timely insights for critical decision-making in patient care.

Conducted performance tuning of SQL queries, resulting in a 50% improvement in query execution times and overall database performance.

Mentored interns and junior engineers, promoting knowledge sharing and skill development, which contributed to a more capable engineering team.

Participated in cross-departmental projects, ensuring alignment of data initiatives with organizational goals and enhancing collaboration across teams.

Implemented data security measures in compliance with HIPAA regulations, safeguarding sensitive patient information and ensuring data integrity.

Evaluated and recommended data visualization tools, improving reporting capabilities and enabling stakeholders to gain insights from complex datasets.

Technologies Used: Azure Data Lake, Azure Data Factory, SQL, Machine Learning, Azure Stream Analytics, Data Quality, Data Visualization, ETL, Data Governance, HIPAA Compliance

Meijer – Grand Rapids, MI

Data Engineer – Feb 2020 to Dec 2021

Developed and maintained ETL processes to support data warehousing initiatives, improving data availability for business intelligence reporting by 40%.

Automated data cleansing procedures using Python, which enhanced data quality and reduced manual data entry errors by 30%.

Collaborated with business analysts to gather requirements and deliver tailored data solutions that improved operational efficiency across departments.

Implemented data modeling techniques that optimized database performance, resulting in a 25% reduction in query response times for end-users.

Spearheaded the migration of legacy systems to a cloud-based data platform, achieving a 15% reduction in infrastructure costs while increasing scalability.

Conducted training sessions for staff on data management best practices, fostering a culture of data-driven decision-making within the organization.

Engaged in continuous improvement initiatives, identifying and addressing bottlenecks in data workflows that enhanced overall system performance.

Developed dashboards using Power BI to visualize key performance indicators, enabling stakeholders to make informed decisions based on real-time data.

Collaborated with IT security teams to ensure compliance with data protection regulations, enhancing the organization’s data security posture.

Participated in agile development processes, contributing to sprint planning and retrospectives to continuously improve team performance and project outcomes.

Technologies Used: Python, SQL, ETL, Data Warehousing, Power BI, Cloud Computing, Data Modeling, Agile, Data Governance, Data Security

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