Akhila P Email & Phone Number

Madison, Wisconsin, United States

As a Data Engineer, I bring extensive expertise in the full Software Development Life Cycle (SDLC), encompassing requirement gathering, design, development, testing, deployment, and user support. My professional journey involves optimizing data transformation processes across diverse platforms, including Oracle and Hadoop, with a primary focus on Python and Hive. I collaborate closely with Solution Architects, Principal Engineers, DevOps teams, and Business Analysts to translate business needs into actionable data products, ensuring high-quality deliverables.I have hands-on experience designing and developing ETL jobs to integrate data from Salesforce replicas into Redshift, managing data quality and integrity through advanced Big Data technologies such as Hadoop, MapReduce, Pig, Hive, Flume, Sqoop, Spark, and AWS services including S3, Lambda, EC2, EMR, RedShift, and DynamoDB. My role involves crafting and optimizing Spark SQL queries, developing custom RDDs in PySpark, and leveraging Kafka REST API for data collection and integration.I am adept at real-time data processing using Kafka and Spark Streaming, efficiently converting and storing data in Parquet format on HDFS. My experience also includes scheduling and maintaining database jobs, creating innovative solutions for data movement and transformation, and prototyping new data integration tools and techniques. Active in Agile environments, I participate in Scrum meetings, Sprint planning, and retrospectives to drive project success.

Pataskala, Ohio, United States

As an AWS Cloud Engineer, I excel in deploying, automating, and managing production systems to ensure high availability, performance, scalability, and security. My expertise includes setting up Infrastructure as a Service (IaaS) from scratch using CloudFormation templates, applying critical patches through AWS Patch Manager, and orchestrating data migration from SQL Server to AWS Redshift for significant cost savings. I am adept at designing data models and schemas, optimizing SQL queries for improved performance, and leveraging AWS SageMaker for machine learning model creation. My skills extend to automating AWS EMR clusters for efficient data processing, scripting for server management, and developing reusable automated solutions with code pipelines. I have a strong background in handling large datasets with PySpark, including data transformation and aggregation, and am proficient in a variety of tools and technologies such as AWS Lambda, Informatica, DevOps, Jenkins, Cloudera, HDFS, Pig, Hive, Kafka, Sqoop, Shell Scripting, and Python.

Minnesota, United States

As a Data Pipeline Engineer with extensive experience in AWS cloud technologies, I specialize in developing comprehensive end-to-end data solutions. My expertise includes building and orchestrating data pipelines using AWS Redshift, Glue, SQS, and Neo4j, as well as performing data transformations with PySpark. I excel in managing S3 buckets, handling various file formats such as ORC, Avro, Parquet, CSV, and JSON, and deploying infrastructure using Terraform. My role involves configuring and optimizing Glue jobs, orchestrating workflows with Step Functions, and implementing audit mechanisms with RDS and DynamoDB. I am well-versed in working with complex SQL queries and stored procedures in Redshift and skilled in utilizing GitLab CI/CD pipelines for seamless deployment. Operating in Agile-Scrum environments, I effectively plan, break down work into stories, and estimate effort to drive successful project outcomes.

Hyderabad, Telangana, India

Data Engineer with a background in cloud computing and big data technologies. My expertise includes designing and managing cloud infrastructure on AWS, such as setting up VPCs, site-to-site VPNs, and S3 buckets, and implementing secure storage solutions with AWS Glacier. I am skilled in developing and optimizing ETL processes using tools like Informatica, creating comprehensive data models, and performing performance tuning to enhance system efficiency. Additionally, I have extensive experience with big data technologies including PySpark, Spark, Hadoop, and Hive, enabling efficient data processing and analysis. My work involves developing secure server-based software solutions and managing workflows to ensure seamless data operations. I am committed to leveraging advanced technologies to solve complex data challenges and deliver scalable, high-performance solutions.

Hyderabad, Telangana, India

I am a Data Engineer with a comprehensive skill set in designing and implementing robust data solutions across cloud platforms such as AWS and Azure. My expertise spans building and optimizing data pipelines, ETL processes, and real-time data processing systems using technologies like Spark Streaming, Kafka, and Hadoop. I have a proven track record in data integration, leveraging SSIS for efficient ETL, and ensuring data quality and integrity. Additionally, I excel in data visualization, creating insightful dashboards and reports using Power BI and Tableau. My proficiency extends to database management, including both SQL and NoSQL databases, where I design schemas and optimize query performance. Working closely with cross-functional teams, I thrive in Agile environments, delivering data-driven solutions that align with business goals. I'm always eager to explore new tools and methodologies to enhance my contributions in the field of data engineering.