Anjana M Email & Phone Number

United States

United States

I have extensive experience gathering business requirements and developing data solutions. I specialize in Spark scripts using Python and PySpark, migrating MapReduce programs to Spark, and implementing Spark SQL for efficient data processing. My expertise includes developing ETL workflows with Informatica, creating data visualizations and dashboards in Tableau, and designing data warehouses using Star and Snowflake schemas. I have utilized AWS services for data processing and storage, created Hive tables and partitions, and developed Pig UDFs. Additionally, I follow agile methodologies in project execution.

Kent, Ohio, United States

During my master's program, I served as a Teaching Assistant for Big Data Analysis. In this role, I facilitated lectures and hands-on tutorial sessions on big data frameworks such as Hadoop and Spark, focusing on distributed computing, data processing, and real-time analytics. I provided technical support to students on data ingestion, ETL processes, and advanced analytics using tools like Hive, Pig, and Kafka. I guided students through complex data manipulation and transformation tasks, assisted in optimizing MapReduce jobs, and supported debugging efforts.Additionally, I played a key role in grading assignments and exams, offering detailed technical feedback to enhance students' understanding and application of big data technologies. This experience solidified my expertise in big data analytics and strengthened my ability to convey intricate technical concepts clearly.

Bengaluru

Developed Spark streaming applications to pull data from the cloud to Hive tables, configured Spark for optimized processing, designed Scala workflows for data transformation and created shell scripts for data ingestion to HDFS, developed PIG scripts for semi-structured data analysis, and planned data warehouses in STAR schema. Additionally, I have built and published Tableau dashboards, prepared ETL design documents, and created workflows using Informatica ETL. My experience includes utilizing AWS for big data architecture, converting Hive/SQL queries into RDD transformations with Scala, and developing MapReduce programs. I have worked with complex SQL, MongoDB, and followed Agile methodology throughout my projects.

Bengaluru, Karnataka, India

I have collaborated with Business Analysts and SMEs to gather and refine business requirements. I have developed Spark applications using Scala and Python, leveraging SparkSQL for efficient data processing and in-memory computation. My experience includes creating PIG UDFs and custom loaders, developing ETLs with Spark SQL and Data Frames, and designing functional reports in Tableau. I have also migrated MapReduce programs to Spark, implemented Data Lake concepts, and performed advanced text analytics with Spark. Also, actively participated in agile methodologies, including SCRUM meetings and sprint planning.

Hyderabad

I was involved in the analysis, design, and implementation of business user requirements. My expertise includes using Spark for interactive queries, processing streaming data, and integrating with NoSQL databases for large data volumes. I have developed Spark programs using Python APIs, executed Spark jobs with Spark core and SparkSQL libraries, and integrated data quality plans within ETL processes. Additionally, I have built key business metrics, visualizations, dashboards, and reports using Tableau, and written Hive queries for data analysis. I also participate in status meetings and provide updates to the management team.

Master'S Degree, Data Science

I hold my Master’s degree from Kent State University, where I developed a robust foundation in data analytics, statistical modeling.

Bachelor'S Degree