Alekhya Reddy Email & Phone Number

Ohio, United States

Experienced Data Engineer with expertise in designing and implementing end-to-end data pipelines and analytics solutions on AWS. Proficient in leveraging AWS services like S3, Redshift, Glue, Lambda, and EMR to build scalable data architectures. Skilled in automating ETL workflows using Airflow, dbt, and step functions to process structured and unstructured data efficiently. Adept at developing Spark applications for real-time and batch data processing, using formats like Parquet, Avro, and JSON.Strong background in migrating on-premises databases to AWS Redshift, optimizing query performance, and managing workload priorities. Experienced in CI/CD implementation with Git, Jenkins, Docker, and Kubernetes. Passionate about using data to uncover insights, drive decisions, and deliver robust solutions tailored to business needs.

Texas, United States

Results-driven Data Engineer with hands-on experience in building and managing scalable data pipelines, infrastructure, and analytics solutions. Expertise in leveraging AWS services such as S3, Redshift, Glue, Lambda, and Step Functions, combined with Databricks and Snowflake, to process and store large datasets effectively. Skilled in developing ETL workflows using PySpark, Spark SQL, and Terraform, with a focus on performance optimization and error recovery.Proficient in data cleaning, feature engineering, and data ingestion for machine learning purposes, leveraging tools like Pandas, NumPy, and PySpark. Experienced in monitoring and auditing data loads, implementing CI/CD pipelines using Jenkins, and deploying infrastructure with Terraform. Adept at version control with Git and agile project management tools like Confluence and Rally.Passionate about delivering high-quality data solutions to support business intelligence, analytics, and machine learning initiatives.

Kansas City, Missouri, United States

Experienced Data Engineer with expertise in designing, developing, and optimizing ETL processes and data integrations across various platforms. Proficient in translating DB2 procedures to Teradata stored procedures, BTEQ scripts, and Informatica workflows, ensuring seamless migration and performance tuning. Skilled in handling large-scale data transformations using tools like Teradata Utilities (FastLoad, MultiLoad, TPT), Sqoop, and Informatica PowerCenter, as well as Hadoop technologies like Hive and HDFS.Demonstrated ability in data quality management using Informatica Data Quality (IDQ) and ensuring accurate data profiling, deduplication, and governance. Adept at building fault-tolerant, scalable ETL platforms, optimizing query performance, and developing application and schema objects using MicroStrategy.Strong background in cloud migration, with experience transitioning ETL frameworks to Elastic MapReduce (EMR) and Hive for enhanced scalability and performance. Skilled in scripting with Python and UNIX for data validation, creating Control-M jobs for scheduling, and utilizing tools like Jenkins and Stash for deployment automation. Committed to delivering efficient, reliable, and high-performing data solutions that drive business intelligence and analytics.

California, United States

Highly skilled Big Data Engineer with expertise in Hadoop ecosystem tools and technologies. Extensive experience in installing and configuring Cloudera Hadoop Distribution and implementing advanced data processing using Apache Spark with Scala and PySpark. Proficient in building scalable data pipelines, performing large-scale transformations, and denormalizing relational datasets to derive actionable insights.Hands-on experience in real-time data processing using Kafka-Storm integration for event streaming and analytics on HDP platforms. Skilled in data ingestion workflows, including loading structured and semi-structured data from RDBMS to Hadoop using Sqoop, Flume, Hive, and HBase. Adept at creating and managing Hive tables, writing complex HQL queries, and extending Hive/Pig functionality with custom UDFs for tailored data analysis.Experienced in developing end-to-end ETL processes, validating imported data, and working with various file formats like JSON and Parquet. Proficient in Linux server management, RHEL upgrades, and Apache Server installation, coupled with expertise in Java technologies like Hibernate, Spring, JSP, and Servlets for web application development.A collaborative professional with a strong background in Git-based version control and continuous integration workflows. Known for leveraging in-memory computing capabilities and delivering robust, real-time data solutions for complex business requirements.

Hyderabad, Telangana, India

Experienced Big Data Engineer with expertise in Hadoop ecosystem and distributed data processing. Proficient in the installation and configuration of Cloudera Hadoop Distribution, as well as implementing advanced analytics using Apache Spark (Scala and PySpark). Skilled in developing Spark applications for large-scale data transformations and denormalization of complex datasets.Strong background in real-time data processing with Kafka-Storm integration on HDP platforms, data ingestion workflows using Flume, Sqoop, Hive, and HBase, and creating optimized Hive queries for managing structured and semi-structured data. Adept at building and managing scalable ETL pipelines, validating data imports, and extending Hive and Pig functionality through custom UDFs.Proficient in Hadoop log management, RHEL upgrades, and Linux server hardening. Skilled in using JSON, Parquet, and other Hadoop file formats. Versatile in Java technologies such as Hibernate, Spring, JSP, and Servlets for web application development. Hands-on experience with continuous integration using GitHub and expertise in tools like DBT for pipeline management.A results-driven professional with a passion for delivering robust data solutions, enhancing system performance, and enabling insightful analytics to support business decisions.