Akshit Kr. Garg

About Akshit Kr. Garg

Results-driven Data Consultant with 4.5 years of experience in delivering data-driven solutions to optimize business operations. Expertise in data analysis, visualization, and reporting using advanced tools such as Python, SQL, Power BI, and Tableau. Skilled in managing end-to-end data projects, from data extraction and transformation to insights generation and strategic recommendations. Proven track record of enhancing decision-making processes by implementing predictive models, data mining, and statistical analysis. Strong collaboration and communication skills, enabling effective interaction with cross-functional teams and stakeholders. Adept at solving complex business challenges with innovative data solutions.

Experience

1. Senior Data Engineer

   Tata Consultancy Services

   Oct 2024 — Present · London, GB

   A Senior Data Engineer is responsible for designing, building, and maintaining scalable data infrastructure and pipelines to collect, store, and process large volumes of data. They work closely with data scientists, analysts, and other stakeholders to ensure data is available, reliable, and optimized for analysis. Key responsibilities include:1. Data Architecture Design: Developing data architectures, models, and schemas to support efficient data storage, processing, and retrieval.2. ETL Development: Creating and maintaining Extract, Transform, Load (ETL) processes to move data between different systems and ensure data quality.3. Data Pipeline Management: Automating and optimizing data workflows and pipelines to handle real-time or batch data processing.4. Data Governance: Implementing data security, privacy, and compliance measures to protect sensitive information.5. Performance Tuning: Improving the performance of databases, data warehouses, and big data solutions.6. Collaboration: Working with other teams to understand data needs and integrate various data sources effectively.7. Mentorship: Providing guidance and support to junior data engineers.Senior Data Engineers often work with big data technologies like Apache Hadoop, Spark, and cloud services (AWS, Azure, GCP), as well as programming languages like Python, Java, or Scala.

Education

• Indira Gandhi National Open University

  Master of Science - MS, Computer Science

• Indira Gandhi National Open University

  Bachelor of Science - BS, Computer Science

• Delhi University

  Doctor of Philosophy - PhD, Computer Science

• Indian Institute of Technology, Mandi

  Bachelor of Engineering - BE, Computer Science

• London School of Business and Finance LSBF

  Master of Business Administration - MBA, Banking, Corporate, Finance, and Securities Law