Naresh E Email & Phone Number

Boston, Massachusetts, United States

I specialize in designing, building, and optimizing scalable data pipelines and infrastructure. With extensive experience in Python and SQL, I’m adept at data manipulation, scripting, and managing complex ETL processes. My expertise spans across big data technologies like Apache Hadoop, Spark, Hive, and Kafka, as well as cloud platforms including AWS and Microsoft Azure.I have hands-on experience with data warehousing solutions such as Amazon Redshift, Google Big Query, and Snowflake, and a strong understanding of dimensional modeling for efficient data warehouse design. My technical skill set also includes working with RDBMS (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra, HBase).I’m proficient in automating data workflows using ETL tools like Apache NiFi, Talend, Informatica, and AWS Glue, and in infrastructure automation with AWS CloudFormation and Terraform. My experience extends to orchestrating data pipelines with Apache Airflow, Luigi, and Prefect, ensuring seamless data flow and processing.I’m committed to data quality and governance, familiar with tools like Great Expectations, and adhere to best practices in data security. My background also includes creating impactful data visualizations and dashboards using Tableau and Power BI, as well as deploying machine learning models within data pipelines.I thrive in collaborative environments, combining excellent problem-solving abilities with strong communication skills to drive data-driven decision-making and innovation.

Hyderabad, Telangana, India

I am a dedicated data engineer with a strong focus on designing and optimizing scalable data pipelines. My expertise in Python and SQL allows me to create efficient data integration and ETL processes that drive business insights.With hands-on experience in big data technologies like Apache Hadoop, Spark, and Hive, I have managed large datasets effectively. I have also automated data workflows using ETL tools such as Apache NiFi and Talend, enhancing the reliability and efficiency of data processing.I’ve successfully deployed and managed data solutions on cloud platforms like AWS and Microsoft Azure, utilizing services like S3 and Lambda for big data processing. My experience in developing and maintaining data warehouses with Amazon Redshift and Snowflake has been instrumental in optimizing query performance and data storage.I bring a strong understanding of dimensional modeling techniques, ensuring efficient data retrieval and reporting. My work with relational databases like MySQL and PostgreSQL, alongside NoSQL databases like MongoDB and Cassandra, supports diverse data storage needs.I’ve orchestrated data pipelines using Apache Airflow, ensuring timely and reliable data delivery. My commitment to best practices is reflected in my implementation of version control and CI/CD processes using Git and Jenkins, which helps maintain code integrity and streamline deployments.My skills in creating data visualizations and dashboards with Tableau and Power BI enable stakeholders to make informed, data-driven decisions.