Akshit Singhal — Product Manager

With 4+ years of proffesional experience I specialize in delivering customer analytics, building scalable data solutions, and driving business growth across industries. I am skilled in developing dashboards, optimizing workflows, and engineering robust data pipelines. Enthusiastic about solving real-world business problems through data-driven strategies and constantly evolving across analytics and engineering domains. I have good understanding and experience working with Spark framework, Agentic Framework, AI, ML, Big Data, Airflow, Snowflake, Databricks, Delta Lake house, Kafka, Structured Streaming, SQL, DBT, ETL, Docker, Kubernetes, Streamlit, Power BI, Tableau and Python for creating efficient Data pipelines and Dashboards to meet the business requirements. I have experience building clean, engaging and responsive Dashboards collaborating with the User Experience team. Data technologies: Data Governance, Data Quality, Data Streaming, Distributed Computing Programming: Python, SQL, DAX Data Platforms: Snowflake, Databricks, Postgresql, SQL Server, MySQL No SQL: Dynamodb, Mongodb Big Data: Apache Spark (Core, SQL, Streaming), Hadoop (HDFS, MapReduce), Kafka Cloud Platforms: AWS, AZURE, GCP Visualization: Power BI, Tableau, Matplotlib, Seaborn, Streamlit DevOps: Docker, Kubernetes, ECR ETL Tools: DBT, Apache Airflow, Matillion, Azure Data factory, Azure Synapse Object Storage: Azure Blob Storage, Amazon S3, GCP Storage, RedShift Agentic Frameworks: Langgraph, Langchain, LlamaIndex CDP Tools - Amperity, Hightouch CRM/Marketing Platforms: Salesforce, SFTP, Trade Desk,Hubspot, Emarsys, Braze , Attentive, Klaviyo , Twilio, Social Media Platforms , Zendesk Version Control: Git, Guthub, Jira, Confluence. Brands I have worked with - Aeropostale , Nautica , Reebok , Servco , Accent Group , Reckitt , Citizen Watch , Michael Kors , Reckitt , Smithsonian , Brooks Running , Eddie Bauer , Forever 21, Samsonite (Tumi) , Funko and many more.

Stackforce AI infers this person is a Data Engineering and Analytics specialist in the SaaS industry.

Location: Hyderabad, Telangana, India

Experience: 4 yrs 5 mos