Sankeerth K.

About Sankeerth K.

A Senior Data Engineer with 8 years of experience in Big Data technologies, I have developed a strong foundation in designing and implementing data architectures to solve complex business problems. I am well-versed in AWS and Microsoft Azure cloud technologies, including EC2, S3, Lambda, EMR, and Kubernetes, and have worked with a variety of data processing frameworks, including Hadoop, MapReduce, HDFS, Sqoop, PIG, Hive, HBase, Oozie, Flume, NiFi, Kafka, and Zookeeper. Throughout my career, I have built and optimized data pipelines, managed large-scale data infrastructure, and developed efficient data workflows using Apache Spark, PySpark, and Scala. I am also experienced in Python, Java, C, C++, Shell script, and SQL programming languages and have worked with various databases such as Oracle, MySQL, PostgreSQL, and MongoDB. My expertise in cloud-based data solutions has enabled me to drive impactful business outcomes, including increased data-driven decision-making, improved data accuracy, and streamlined data processes. I have experience working with the Django REST framework, Hortonworks, and Apache Airflow to build scalable data solutions. In my current role, I collaborate with cross-functional teams to design and implement scalable data solutions. I am passionate about staying up-to-date with the latest cloud technologies and best practices to deliver high-quality solutions to my clients. I am proficient in tools such as PyCharm, Visual Studio, SQL Server Management Studio, and Postman, and have experience working with version control systems such as Git and GitHub. I am also skilled in data modeling techniques such as Dimension Modeling, ER Modeling, Star Schema Modeling, and Snowflake Modeling, and data visualization tools such as Tableau, MatPlotLib, and Power BI.

Experience

1. Sr Data Engineer

   Foot Locker

   May 2021 — Present · FL, US

   Designed and developed data models, structures, and ETL jobs to acquire and manipulate data for analytical purposes. •Ensured data quality, master data management, and adherence to data standards. •Utilized Azure Data Factory and Databricks to process and compute large volumes of data, and performed ETL operations by connecting to different relational database source systems. •Developed Python scripts for data validations, automated data ingestion from web services into Azure SQL DB, and analyzed data from IoT enabled poker and pit tables using Azure Event Hubs and Stream Analytics. •Mounted Azure Data Lake and Blob to Databricks, and used Logic App to take decisional actions based on workflow and custom alerts using Azure Data Factory, SQLDB, and Logic App. •Worked with Teradata BETQ scripts, designed systems and alerts in Airflow to monitor data products in production, and implemented Copy activity and Custom Azure Data Factory Pipeline Activities. •Collaborated with application architects on IaaS to PaaS migration, and worked on database solutions in Azure SQL Data Warehouse and Azure SQL. •Utilized UNIX shell scripting for automation of different tasks, and worked on Tableau software for reporting and dashboard needs.

Education

• JNTUH College of Engineering Hyderabad

  Bachelor of Technology - BTech, Computer Science