Pranathi V Email and Phone Number
I am a results-driven Senior AWS Data Engineer with over 9 years of experience in designing and delivering scalable data engineering solutions. My expertise lies in architecting robust data pipelines, optimizing ETL processes, and managing end-to-end data workflows across cloud platforms such as AWS, Azure, and GCP.Specializing in real-time data processing, I have a strong command of tools like Kafka, Spark, and PySpark, enabling the seamless handling of high-volume datasets. My skill set includes building and scaling cloud-native solutions using AWS services (S3, Glue, Redshift, EMR), Snowflake, and Databricks. With a deep understanding of RDBMS and NoSQL databases, I excel in data modeling, performance tuning, and ensuring efficient data integration.Data security and governance are at the core of my work. I implement robust frameworks, including role-based access control (RBAC) and encryption, to protect sensitive information. My experience includes managing complex data migration projects, developing advanced analytics workflows, and supporting business intelligence initiatives with tools like Tableau and Power BI.Collaboration is a key strength, as I work closely with stakeholders to understand business objectives and translate them into impactful data solutions. Whether it's creating interactive dashboards, optimizing query performance, or leveraging machine learning tools for predictive analytics, I am committed to delivering value through innovative data strategies.I am passionate about driving efficiency and innovation in data engineering, with a focus on leveraging the latest technologies to solve complex challenges. Let’s connect to explore how my skills and experience can contribute to your organization’s data-driven success.
-
Senior Data EngineerCommunity Health Systems Apr 2022 - PresentClearwater, Florida, United StatesI excel in end-to-end data processing and analytics, specializing in real-time data handling with Kafka, Spark, and Python. My expertise includes designing ETL pipelines, optimizing Snowflake resources, and enhancing RDBMS query performance. I architect cloud-based data solutions on AWS, leveraging services like S3, Glue, Redshift, and EMR. Data security is a top priority, achieved through implementing RBAC and encryption. I streamline ETL workflows using AWS Glue, scale Snowflake warehouses for optimal resource utilization, and employ Python-based data ingestion and cleansing techniques. My skill set covers SQL-driven workflows, Hive optimization, PostgreSQL data migration, and crafting visually impactful dashboards in Tableau and Power BI. -
Senior Data EngineerFiserv Dec 2019 - Mar 2022Little Rock, Arkansas, United StatesI specialize in developing scalable data processing solutions using Spark, Kafka, and Redshift. My work includes implementing ETL pipelines, migrating PostgreSQL databases, and optimizing AWS resources. I focus on enhancing data pipelines through CI/CD orchestration and integrating analytics tools like DBT and Tableau. Proficient in Python, I leverage Pandas and NumPy for data manipulation and cleansing, while employing Databricks Delta Lake for reliable and traceable data versioning. Collaboration with stakeholders ensures impactful storytelling through dashboards and automation of complex workflows. I also optimize performance by employing SSIS parallelism and multithreading, reducing ETL durations. -
Data EngineerFactset Oct 2017 - Nov 2018New York, United StatesI excel in end-to-end data ingestion and processing, leveraging GCP tools like BigQuery and Dataflow alongside AWS services like EMR and Lambda. My expertise includes creating data pipelines with Sqoop, Kafka, and Hive for real-time analytics. I focus on data security through encryption and RBAC, while optimizing pipelines for enhanced performance. Proficient in Tableau and Google Data Studio, I create visually compelling dashboards to enable data-driven decisions. I leverage Spark-SQL for data transformations and employ Python for data preprocessing and cleansing, ensuring accurate and reliable analytics. -
Azure Data EngineerChewy Jul 2016 - Sep 2017Boston, Massachusetts, United StatesI specialize in Azure-based data engineering, leveraging services like Databricks, Data Lake, and Data Factory for end-to-end data solutions. My expertise includes designing ETL workflows, optimizing Snowflake resources, and implementing secure pipelines using Hive and Spark. Proficient in Python, I utilize Pandas and NumPy for data manipulation, while employing Power BI for crafting actionable insights through impactful visualizations. With extensive experience in Docker and Kubernetes, I streamline data workflows, ensuring robust and scalable data architectures -
Data EngineerLabcorp May 2014 - Aug 2015Karnataka, IndiaI conducted comprehensive data analysis using SQL queries to ensure data quality and identify discrepancies in source systems. My role involved integrating data from diverse sources, including on-premises databases, cloud storage, and external APIs, into Azure. This was essential for maintaining data accuracy and consistency in data-driven initiatives.I demonstrated expertise in configuring Snowflake Cloud Data Warehouse environments, tailoring them to meet specific business requirements. This included designing and managing data integration programs in both Hadoop and RDBMS environments, working seamlessly with relational and NoSQL data stores for efficient data access and analysis.I excelled in data visualization and analysis, creating Tableau dashboards with various visualization techniques such as stack bars, bar graphs, scattered plots, and Gantt charts. I also leveraged Python for data cleaning, manipulation, and visualization to extract actionable insights, supporting data-driven decision-making. Using SQL queries, I extracted, preprocessed, and visualized data in Tableau, producing interactive and informative visualizations to gain valuable insights.
Pranathi V Education Details
-
Computer Science -
Computer Science -
Computer Science -
Computer Science
Frequently Asked Questions about Pranathi V
What company does Pranathi V work for?
Pranathi V works for Community Health Systems
What is Pranathi V's role at the current company?
Pranathi V's current role is Senior Data Engineer.
What schools did Pranathi V attend?
Pranathi V attended Auburn University At Montgomery, Auburn University At Montgomery, Jntuh College Of Engineering Hyderabad, Auburn University At Montgomery.
Who are Pranathi V's colleagues?
Pranathi V's colleagues are Nancy Hampton, David Morrison, Kyndra Riley, Catherine Hampton, Bessie Kamara Sankoh, Tiffany Caines, Karen Lacy.
Not the Pranathi V you were looking for?
-
Pranathi V
Ms In Computer Science | Data Engineer |Microsoft Dynamics|Sap Fi-Co| S4Hana| Workday Consultant |Mba - Finance & Business Analytics | Risk | Investment Banking | Financial Modelling | ValuationsCape Girardeau, Mo -
N Pranathi V
Msitm@Utd | My Sql | Tableau | Power Bi | Python | Java | Azure | Pyspark | Oracle | Rasa | Kafka | Sdlc | Salesforce Certified Administrator | Aws Certified Cloud PractitionerSchaumburg, Il -
-
pranathi v
Cape Girardeau, Mo
Free Chrome Extension
Find emails, phones & company data instantly
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial