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Experienced data engineer/software developer with 5+ years of experience in medium and large-size companies, master’s degree in computer application and information technology. Proficient in understanding and analyzing complex systems to deliver process and tool improvements. Hands-on experience with AWS cloud and Snowflake. Acquired certificates for AWS Cloud practitioner, Snowflake SNOWPRO, Snowflake Data warehouse, and Snowflake Data Application. Excellent verbal and written communication skills. Resourceful and goal-oriented as well as a team player. Responsive expert experienced in monitoring database performance, troubleshooting issues and optimizing database environment. Possesses strong analytical skills, excellent problem-solving abilities, and deep understanding of database technologies and systems. Equally confident working independently and collaboratively as needed and utilizing excellent communication skills.

 Data Engineer with 5+ years of experience in designing and developing enterprise-level, low-latency, fault-tolerant data platforms. Skilled in building distributed streaming data pipelines and analytics data stores using Spark, Flink, and Kafka. Proficient in Python, SQL, Scala, and clouds AWS, Azure), with a strong focus on CI/CD practices, security, and collaboration in agile environments. Experienced in supporting scalable cloud-based solutions and optimizing data processing for high-quality insights. Strong background in developing data pipelines, optimizing data storage & processing, and analyzing large-scale distributed systems. Applies SDLC methodologies & agile practices to deliver robust solutions for complex data engineering challenges. Adept at using visualization tools and experienced in cloud-based data architectures, ensuring efficient data management & analysis across diverse technological environments. 

Having over 5+ years of experience as Senior Data Engineer with strong technical expertise, business experience, and communication skills to drive high - impact business outcomes. Experience in Software Development Life Cycle (SDLC) including Requirements Analysis, Design Specification and Testing as per Cycle in both Waterfall and Agile methodologies. Experience with Spark Core, Spark SQL, Spark MLlib, Spark GraphX and Spark streaming for processing and transforming complex data using in-memory computing capabilities written in Scala. Worked with Spark to improve efficiency of existing algorithms using Spark Context, Spark SQL, Spark MLlib, Data Frame, Pair RDD's and Spark YARN. Experience in Python and Scala, user-defined functions (UDF) for Hive and Pig using Python. Hands-on experience with Hadoop architecture and various components such as Hadoop File System HDFS, Job Tracker, Task Tracker, Name Node, Data Node and Hadoop MapReduce programming. Experience with Airflow to schedule ETL jobs to extract the data from AWS data warehouse. Proficient in designing, implementing, and optimizing ETL processes using Talend, leveraging its comprehensive suite of data integration tools to ensure seamless data movement and transformation across various systems and platforms. Experienced in utilizing Informatica PowerCenter for ETL development, including mapping design, workflow creation, and performance tuning, to deliver efficient data pipelines meeting business requirements within stringent timelines. Experience structural modifications using Map-Reduce, Hive and analyze data using visualization/reporting tools (Tableau). Experienced in fact dimensional modeling (Star schema, Snowflake schema), transactional modeling and SCD (Slowly changing dimension). Experience working on creating and running Docker images with multiple micro - services. Hands on experience working Amazon Web Services (AWS) using Elastic Map Reduce (EMR), Redshift, and EC2 for data processing. Experience with PySpark and Azure Data Factory in creating, developing and deploying high performance ETL pipelines. Experience in developing JSON Scripts for deploying the Pipeline in Azure Data Factory (ADF) that process the data using the Cosmos Activity. Developed Spark jobs on DataBricks to perform tasks like data cleansing, data validation, standardization, and then applied transformations as per the use cases. Hands on experience in SQL and NOSQL database such as Snowflake, HBase, Cassandra and MongoDB. Extensive experience in agile software development methodology. Team Player as well as able to work independently with minimum supervision, innovative & efficient, good in debugging and strong desire to keep pace with latest technologies. Excellent Communication and presentation skills along with good experience in communicating and working with various stake holders.

Experienced Data Engineer with a strong foundation in data architecture and pipeline development. Skilled at optimizing data processes and improving data integrity through creative solutions. Proficient in SQL and Python, utilizing these tools to collaborate with diverse teams and facilitate data-informed decision-making.

Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals with skills and experience in data Engineering with a solid background in designing, implementing, and maintaining data pipelines, ETL processes, and data warehouses. Proficient in utilizing a variety of programming languages and tools to extract, transform, and load data for analysis and reporting purposes. Expertise in optimizing data infrastructures to support business intelligence and analytics goals. Strong problem-solving and communication skills with a proven track record of delivering high-quality data solutions.

Ritika Agarwal

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