Data Engineer Solutions

Viswachandrika Baddula

Data Engineer

Pitman, NJ +1-856-***-**** **************@*********.*** LinkedIn SUMMARY

3+ years of hands-on experience in analyzing, designing, developing, and implementing scalable solutions as a Data Engineer. Understanding of methodologies, including Agile and Waterfall, ensuring efficient project execution. Expertise in designing and managing big data solutions using Hadoop, MapReduce, Apache Spark, Hive, and Pig for advanced data processing and analytics. Skilled in utilizing ETL tools like SSIS to streamline data integration processes and ensure efficient data workflows. Hands-on experience with cloud platforms, including AWS and Azure, to architect and deploy scalable cloud-based data solutions. Well-versed in data analysis such as NumPy, Pandas, Matplotlib, etc. to extract actionable insights. Experienced in building interactive dashboards and reports using Tableau, Power BI, and SSRS, enabling data-driven decision-making. Adept at working with databases such as SQL Server, PostgreSQL, etc., to ensure efficient data storage and retrieval. SKILLS

Methodologies: SDLC, Agile, Waterfall

Languages: Python, R, SQL, SAS

Big Data Ecosystem: Apache Spark, PySpark, Hive, Hadoop

(HDFS, MapReduce), Kafka, Sqoop, Airflow, Apache Flink ETL Tools: SSIS, Apache NiFi, Apache Kafka, Talend, Apache Airflow, Informatica

IDEs: Visual Studio Code, PyCharm, Juypter Notebook Packages: NumPy, Pandas, Matplotlib, Seaborn, ggplot2, SciPy, Scikit Learn

Visualization Tools: Tableau, Power BI, Advance Excel Cloud Technologies: AWS, Azure, GCP, DataBricks

DevOps Tools: Docker, Kubernetes, Jenkins, CI/CD

Databases: MySQL, PostgreSQL, SQL Server, Oracle,

MongoDB

Version Control Tools: Git, GitHub, GitLab

Operating Systems: Windows, Linux, Mac

EXPERIENCE

MetLife Aug 2024 - Present

Data Engineer USA

• Cooperated within Agile development teams to ensure efficient project delivery and flexibility to evolving requirements.

• Designed and optimized large-scale data processing workflows using Hadoop, MapReduce, Hive, Apache Spark, and Pig for improved performance and scalability.

• Created capacity planning reports by leveraging Python libraries, including NumPy, Pandas, Matplotlib, and SciPy, to deliver actionable insights.

• Planned and established over 25 dynamic Tableau Desktop reports, enabling advanced data analysis and customizable filtering options, which improved decision-making efficiency by 30%.

• Exploited AWS cloud platforms to architect scalable, secure, and cost-effective data solutions, achieving a 25% reduction in operational costs while enhancing data processing performance.

• Engineered and implemented ETL pipelines using SSIS, handling over 1 million data records daily, ensuring seamless data integration with a 99% on-time delivery rate.

• Optimized unstructured data management by implementing MongoDB, reducing data retrieval time by 40% and improving overall NoSQL database performance.

Intex Technologies Jan 2020 - Dec 2022

Data Engineer India

• Ensured adherence to Waterfall project management practices for structured and large-scale projects, maintaining clarity and consistency in deliverables.

• Analyzed and optimized Hadoop clusters, utilizing tools like Pig, Hive, and Sqoop to process and manage datasets exceeding 5TB, improving data processing efficiency by 35%.

• Integrated machine learning models using Scikit-learn and TensorFlow into data pipelines, enhancing predictive accuracy by 20% and automating key business processes.

• Contributed to scalable and reliable data architecture by implementing cloud-based big data solutions on Microsoft Azure, supporting a 40% increase in data storage capacity.

• Developed and deployed over 50 detailed reports using SQL Server Reporting Services (SSRS), enabling stakeholders to make informed, data-driven decisions, reducing reporting turnaround time by 25%.

• Designed and implemented 15+ interactive dashboards in Power BI, effectively communicating critical insights and trends, improving decision-making efficiency across departments by 30%.

• Managed relational databases on MS SQL Server and MySQL, supporting data warehousing solutions that reduced query execution times by 40%.

• Authored and maintained comprehensive technical documentation for launching Hadoop clusters and executing Hive queries, ensuring efficient knowledge transfer and operational continuity. EDUCATION

Masters in Data Modeling/Warehousing and Database Administration Dec 2024 Rowan University, Glassboro, NJ

Bachelors in Electronics and Instrumentation Engineering 2022 Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering &Technology, Telangana, India

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