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Data Engineer Power Bi

Location:
Memphis, TN
Posted:
January 14, 2025

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Resume:

Summary:

Sai Prasanth G

Tel: +1-901-***-**** Email: ***************@*****.***

Dynamic and results-driven Data Engineer with 3+ years of experience designing, building, and optimizing scalable data pipelines and architectures. Proficient in Python, SQL, R, Java, and Scala, with expertise in managing databases such as MySQL, PostgreSQL, Snowflake, and Cassandra. Skilled in Big Data technologies like Apache Hadoop, Apache Spark, and PySpark, and experienced in implementing ETL workflows using Apache Kafka, Airflow, and Informatica. Adept at deploying scalable solutions on cloud platforms, including AWS (S3, Redshift, Glue), Azure Data Lake, and Google Cloud (BigQuery, Storage). Proven ability to create impactful visualizations using Tableau, Power BI, and Matplotlib, and to build predictive models with Scikit-learn and TensorFlow. Experienced in containerization (Docker, Kubernetes), version control (Git, GitHub), and API development (Postman, Swagger). Knowledgeable in data governance tools (Collibra, Alation) and CRM/ERP systems like NetSuite, with a strong track record of delivering secure, efficient, and high-quality data solutions aligned with business objectives.

Technical Skills

Programming & Development: Python, SQL, R, Java, Scala

Databases: MySQL, PostgreSQL, MongoDB, Cassandra, Snowflake

Big Data Technologies: Apache Hadoop, Apache Spark, PySpark

ETL and Data Integration Tools: Apache Kafka, Apache Airflow, Talend, DBT (Data Build Tool)

Cloud Platforms: AWS (S3, Redshift, Glue), Azure Data Lake, Google Cloud (BigQuery, Storage)

Data Visualization: Tableau, Power BI, Looker, Matplotlib, Seaborn

Experience

Machine Learning & Data Science: Scikit-learn,

TensorFlow

BI & Reporting Tools: Business Objects, SSRS

Management & Collaboration Tools: Jira, Confluence, Zoom

Version Control & Collaboration: Git, GitHub

Containerization & Orchestration: Docker, Kubernetes

API & Web Services: Postman, Swagger

Data Governance & Quality: Collibra, Alation

CRM/ERP Tools: Salesforce CRM

Web Analytics & Marketing Tools: Google Analytics, Google AdWords

Hartford Financial Service Group Feb 2024 to Current Data Engineer

Designed and implemented scalable data pipelines handling over 2TB of data daily using Apache Spark, Kafka, and Snowflake, ensuring 99.9% uptime.

Migrated legacy data systems to cloud platforms (AWS and Azure), achieving a 40% cost reduction and enhanced scalability.

Deployed predictive analytics models with Scikit-learn and TensorFlow, driving a 20% increase in customer retention rates.

Optimized ETL processes, reducing processing time by 35% through advanced Apache Nifi and DBT techniques.

Built APIs to facilitate real-time data integration, improving system interoperability by 25%.

Implemented containerization using Docker and Kubernetes, reducing deployment time by 50%.

Ensured data security and compliance by integrating data governance tools like Collibra and Alation.

Led a team of 5 engineers in designing data solutions, contributing to the successful launch of 3 enterprise-level projects.

Collaborated with stakeholders to define data requirements, translating business needs into technical solutions that improved ROI by 15%.

Established a version-controlled environment using Git and GitHub, streamlining collaboration and reducing errors by 30%. Sundaram Finance Jan 2020 to Jul 2022

Data Analyst

Analyzed and visualized over 200 datasets monthly using tools such as Tableau, Power BI, and SQL, leading to a 25% improvement in decision-making efficiency.

Designed and executed ETL pipelines, processing over 1TB of data daily, utilizing Apache Airflow and Informatica.

Conducted exploratory data analysis (EDA) and generated actionable insights, which increased operational efficiency by 15%.

Automated recurring reporting tasks, reducing manual effort by 30% through Python scripting.

Collaborated with cross-functional teams, including finance and marketing, to develop KPIs and track progress toward organizational goals.

Monitored database integrity and optimized query performance for MySQL and PostgreSQL databases, resulting in a 20% reduction in processing time.

Created and maintained documentation for data workflows, improving knowledge-sharing across teams. Education

Masters in computer and information sciences

Christian Brothers University, Memphis, TN

Bachelors in Mechanical Engineering

LBRCE, JNTUK, India



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