Alekhya P Email & Phone Number

Omaha, Nebraska, United States

At **Farm Credit Services of America**, I am currently working as a **Data Engineer**. In this financial domain project, I am responsible for handling data from multiple banks and financial institutions. We use **Kafka** for data streaming, and I work on creating ETL pipelines using **SQL Server**, **HBase**, and **Hive**. For programming and scripting, I use **Python**, **PySpark**, and **Scala**.Our cloud platform is **Azure**, where we store the processed data in **Azure Data Lake**. I also implement continuous integration and deployment (CI/CD) using **Jenkins**, ensuring seamless deployment and testing of our pipelines. We follow a **two-week Agile sprint** methodology to keep track of progress and ensure timely deliveries.

New Jersey, United States

In my recent project with **Johnson & Johnson**, I worked as a **Data Engineer** in the healthcare domain. The project focused on migrating healthcare data from on-premise databases such as MySQL, Oracle, and MongoDB to **AWS Cloud**. We used **Kafka** as a messaging service to stream data, and once filtered, the necessary data was stored in **AWS S3 buckets** for further processing. My role involved building data pipelines using **Spark**, performing data transformations, cleaning, and validations using **PySpark** and **Spark Streaming**. I also managed real-time data processing and implemented ETL jobs in **AWS Glue**. We followed **Agile methodology** with two-week sprints, ensuring continuous delivery of high-quality data.

Hyderabad, Telangana, India

At **Softech Career Info System**, I worked as a **Data Engineer** in a product-based environment. Here, we streamed data using **Kafka** and processed it with **Spark**. Data validation and visualization were key focuses, with **Tableau** used for reporting and insights.I was responsible for ETL processes, using **SQL Server**, **HBase**, and **Hive** for managing the data flow. We followed **Agile methodology** with **two-week sprints** and used **Jenkins** for CI/CD, ensuring efficient delivery and deployment of our pipelines.

India

At **Unisys**, I worked as a **Data Engineer** in the insurance domain. I handled data ingestion from multiple sources, streaming it using **Kafka** and processing it through **Spark** and **PySpark**. Our cloud platform was **Azure**, and the processed data was stored in **Azure Data Lake**.I was also responsible for creating ETL pipelines using **SQL Server** and **HBase** and automating the data validation processes. CI/CD was managed through **Bamboo**, ensuring smooth deployments. The team worked under the **Agile methodology**, with a **two-week sprint** cycle.

Hyderabad, Telangana, India

During my time with **XT Global**, I worked as a **Big Data Engineer** in the retail domain, where the focus was on data validation and visualization. We used **Kafka** to stream data from various retail systems, processed it using **Spark** and **Hive**, and stored it in **AWS S3** for further analysis.Most of the data was validated and transformed using **PySpark**, ensuring high-quality datasets for reporting. For visualization, we used **Tableau**, allowing stakeholders to access real-time insights. CI/CD was managed through **Jenkins**, and the project followed a **two-week Agile sprint**.